Charu C. Aggarwal

498 papers A* 123A 80B 21C 1Misc 1Journal 166Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Survey on Data Augmentation. IEEE Trans. Knowl. Data Eng. Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou
2025	J	`jnl`	A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications. CoRR Minhua Lin, Zongyu Wu, Zhichao Xu, Hui Liu, Xianfeng Tang, Qi He, Charu C. Aggarwal, Xiang Zhang, Suhang Wang
2025	J	`jnl`	CARLA: Self-supervised contrastive representation learning for time series anomaly detection. Pattern Recognit. Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi
2025	J	`jnl`	CEDL: Centre-Enhanced Discriminative Learning for Anomaly Detection. CoRR Zahra Zamanzadeh Darban, Qizhou Wang, Charu C. Aggarwal, Geoffrey I. Webb, Ehsan Abbasnejad, Mahsa Salehi
2025	J	`jnl`	Comprehensive Vulnerability Analysis is Necessary for Trustworthy LLM-MAS. CoRR Pengfei He, Yue Xing, Shen Dong, Juanhui Li, Zhenwei Dai, Xianfeng Tang, Hui Liu, Han Xu, Zhen Xiang, Charu C. Aggarwal
2025	J	`jnl`	DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series. IEEE Trans. Knowl. Data Eng. Zahra Zamanzadeh Darban, Yiyuan Yang, Geoffrey I. Webb, Charu C. Aggarwal, Qingsong Wen, Shirui Pan, Mahsa Salehi
2025	A	`conf`	Edge Classification on Graphs: New Directions in Topological Imbalance. WSDM Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr
2025	J	`jnl`	Fairness and Diversity in Recommender Systems: A Survey. ACM Trans. Intell. Syst. Technol. Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr
2025	A	`conf`	Fast Outlier Detection in Oblique Subspaces. CIKM Bowen Li, Charu C. Aggarwal, Peixiang Zhao
2025	J	`jnl`	GenIAS: Generator for Instantiating Anomalies in time Series. CoRR Zahra Zamanzadeh Darban, Qizhou Wang, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi
2025	J	`jnl`	Heterogeneous Social Event Detection via Hyperbolic Graph Representations. IEEE Trans. Big Data Zitai Qiu, Jia Wu, Jian Yang, Xing Su, Charu C. Aggarwal
2025	J	`jnl`	Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. CoRR Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue Xing, Shenglai Zeng, Hui Liu, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu C. Aggarwal
2025	J	`jnl`	Language Models Are Good Tabular Learners. Trans. Mach. Learn. Res. Zhenhan Huang, Kavitha Srinivas, Horst Samulowitz, Niharika S. D'Souza, Charu C. Aggarwal, Pin-Yu Chen, Jianxi Gao
2025	A*	`conf`	Precedence-Constrained Winter Value for Effective Graph Data Valuation. ICLR Hongliang Chi, Wei Jin, Charu C. Aggarwal, Yao Ma
2025	A*	`conf`	Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion. AAAI Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki, Charu C. Aggarwal
2025	J	`jnl`	SoK: Machine Unlearning for Large Language Models. CoRR Jie Ren, Yue Xing, Yingqian Cui, Charu C. Aggarwal, Hui Liu
2024	J	`jnl`	A Comprehensive Survey on Data Augmentation. CoRR Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou
2024	J	`jnl`	Attributed Graph Force Learning. IEEE Trans. Neural Networks Learn. Syst. Ke Sun, Feng Xia, Jiaying Liu, Bo Xu, Vidya Saikrishna, Charu C. Aggarwal
2024	J	`jnl`	Causal Learning for Trustworthy Recommender Systems: A Survey. CoRR Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal
2024	J	`jnl`	Deep Graph Anomaly Detection: A Survey and New Perspectives. CoRR Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu C. Aggarwal, Guansong Pang
2024	J	`jnl`	Edge Classification on Graphs: New Directions in Topological Imbalance. CoRR Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr
2024	A*	`conf`	Efficient Contrastive Learning for Fast and Accurate Inference on Graphs. ICML Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G. Honavar
2024	A	`conf`	Ensembles for Outlier Detection and Evaluation. CIKM Charu C. Aggarwal
2024	A*	`conf`	Instance-Level Metalearning for Outlier Detection. IJCAI Long Vu, Peter Kirchner, Charu C. Aggarwal, Horst Samulowitz
2024	A*	`conf`	Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. AAAI Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr
2024	J	`jnl`	Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. CoRR Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr
2024	J	`jnl`	Physics-Informed Explainable Continual Learning on Graphs. IEEE Trans. Neural Networks Learn. Syst. Ciyuan Peng, Tao Tang, Qiuyang Yin, Xiaomei Bai, Suryani Lim, Charu C. Aggarwal
2024	J	`jnl`	Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion. CoRR Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki, Charu C. Aggarwal
2024	A*	`conf`	Sharpness-Aware Data Poisoning Attack. ICLR Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang
2024	A*	`conf`	Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning. KDD Wangyang Ying, Dongjie Wang, Xuanming Hu, Yuanchun Zhou, Charu C. Aggarwal, Yanjie Fu
2024	J	`jnl`	Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning. CoRR Wangyang Ying, Dongjie Wang, Xuanming Hu, Yuanchun Zhou, Charu C. Aggarwal, Yanjie Fu
2024	J	`jnl`	Z-Laplacian Matrix Factorization: Network Embedding With Interpretable Graph Signals. IEEE Trans. Knowl. Data Eng. Liangtian Wan, Zhengqiang Fu, Yi Ling, Yuchen Sun, Xiaona Li, Lu Sun, Feng Xia, Xiaoran Yan, Charu C. Aggarwal
2023	J	`jnl`	A Comprehensive Survey of Graph-level Learning. CoRR Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò
2023	J	`jnl`	A Survey on Explainability of Graph Neural Networks. CoRR Jaykumar Kakkad, Jaspal Jannu, Kartik Sharma, Charu C. Aggarwal, Sourav Medya
2023	J	`jnl`	Can Directed Graph Neural Networks be Adversarially Robust? CoRR Zhichao Hou, Xitong Zhang, Wei Wang, Charu C. Aggarwal, Xiaorui Liu
2023	A*	`conf`	Distance-Based Propagation for Efficient Knowledge Graph Reasoning. EMNLP Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang
2023	J	`jnl`	Distance-Based Propagation for Efficient Knowledge Graph Reasoning. CoRR Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang
2023	J	`jnl`	Fairness and Diversity in Recommender Systems: A Survey. CoRR Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr
2023	J	`jnl`	Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges. ACM Trans. Intell. Syst. Technol. Jing Ren, Feng Xia, Ivan Lee, Azadeh Noori Hoshyar, Charu C. Aggarwal
2023	J	`jnl`	Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications. IEEE Trans. Knowl. Data Eng. Jianxin Li, Lifang He, Hao Peng, Peng Cui, Charu C. Aggarwal, Philip S. Yu
2023	J	`jnl`	Heterogeneous Social Event Detection via Hyperbolic Graph Representations. CoRR Zitai Qiu, Jia Wu, Jian Yang, Xing Su, Charu C. Aggarwal
2023	A*	`conf`	Jointly Attacking Graph Neural Network and its Explanations. ICDE Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
2023	J	`jnl`	Sharpness-Aware Data Poisoning Attack. CoRR Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Hui Liu, Charu C. Aggarwal, Jiliang Tang
2023	A*	`conf`	Towards Label Position Bias in Graph Neural Networks. NeurIPS Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
2023	J	`jnl`	Towards Label Position Bias in Graph Neural Networks. CoRR Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
2022	J	`jnl`	An Interview with Dr. Charu Aggarwal, Winner of ACM SIGKDD 2022 Service Award. SIGKDD Explor. Charu C. Aggarwal
2022	J	`jnl`	Communication from the Editor-in-Chief: State of the ACM Transactions on Knowledge Discovery from Data. ACM Trans. Knowl. Discov. Data Charu C. Aggarwal
2022	A*	`conf`	DAGAD: Data Augmentation for Graph Anomaly Detection. ICDM Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
2022	J	`jnl`	DAGAD: Data Augmentation for Graph Anomaly Detection. CoRR Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
2022	J	`jnl`	Deep Learning for Time Series Anomaly Detection: A Survey. CoRR Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi
2022	A*	`conf`	Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. NeurIPS Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal
2022	A*	`conf`	Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. KDD Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
2022	J	`jnl`	Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. CoRR Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
2022	J	`jnl`	Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges. CoRR Jing Ren, Feng Xia, Azadeh Noori Hoshyar, Charu C. Aggarwal
2022	J	`jnl`	Link Prediction on Heterophilic Graphs via Disentangled Representation Learning. CoRR Shijie Zhou, Zhimeng Guo, Charu C. Aggarwal, Xiang Zhang, Suhang Wang
2022	—	`book`	Machine Learning for Text, Second Edition Charu C. Aggarwal
2022	J	`jnl`	Self-supervised Short-text Modeling through Auxiliary Context Generation. ACM Trans. Intell. Syst. Technol. Nurendra Choudhary, Charu C. Aggarwal, Karthik Subbian, Chandan K. Reddy
2022	J	`jnl`	Survey on Applications of Neurosymbolic Artificial Intelligence. CoRR Djallel Bouneffouf, Charu C. Aggarwal
2022	B	`conf`	TINKER: A framework for Open source Cyberthreat Intelligence. TrustCom Nidhi Rastogi, Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki, Charu C. Aggarwal
2022	J	`jnl`	Text Style Transfer: A Review and Experimental Evaluation. SIGKDD Explor. Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal, Aston Zhang
2021	J	`jnl`	ActiveIter: Meta Diagram Based Active Learning in Social Networks Alignment. IEEE Trans. Knowl. Data Eng. Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang
2021	—	`book`	Artificial Intelligence - A Textbook Charu C. Aggarwal
2021	J	`jnl`	Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. CoRR Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu
2021	A	`conf`	Graph Feature Gating Networks. CIKM Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2021	J	`jnl`	Graph Feature Gating Networks. CoRR Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2021	J	`jnl`	Jointly Attacking Graph Neural Network and its Explanations. CoRR Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
2021	J	`jnl`	NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs. CoRR Enyan Dai, Charu C. Aggarwal, Suhang Wang
2021	J	`jnl`	SetConv: A New Approach for Learning from Imbalanced Data. CoRR Yang Gao, Yi-Fan Li, Yu Lin, Charu C. Aggarwal, Latifur Khan
2021	A	`conf`	Signature-Based Anomaly Detection in Networks. SDM Charu C. Aggarwal, Yao Li, Philip S. Yu
2021	Misc	`conf`	Syntax Matters! Syntax-Controlled in Text Style Transfer. RANLP Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal
2021	J	`jnl`	Syntax Matters! Syntax-Controlled in Text Style Transfer. CoRR Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal
2021	J	`jnl`	TINKER: A framework for Open source Cyberthreat Intelligence. CoRR Nidhi Rastogi, Sharmishtha Dutta, Mohammed J. Zaki, Alex Gittens, Charu C. Aggarwal
2021	A*	`conf`	Toward Explainable Deep Anomaly Detection. KDD Guansong Pang, Charu C. Aggarwal
2020	A	`conf`	Epidemic Graph Convolutional Network. WSDM Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang
2020	J	`jnl`	Graph Convolutional Networks against Degree-Related Biases. CoRR Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020	A*	`conf`	Graph Pooling with Representativeness. ICDM Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang
2020	A	`conf`	Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks. CIKM Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020	A*	`conf`	Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. AAAI Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020	—	`book`	Linear Algebra and Optimization for Machine Learning - A Textbook Charu C. Aggarwal
2020	J	`jnl`	MALOnt: An Ontology for Malware Threat Intelligence. CoRR Nidhi Rastogi, Sharmishtha Dutta, Mohammed J. Zaki, Alex Gittens, Charu C. Aggarwal
2020	J	`jnl`	Non-IID Graph Neural Networks. CoRR Yiqi Wang, Yao Ma, Charu C. Aggarwal, Jiliang Tang
2020	A	`conf`	On Supervised Change Detection in Graph Streams. SDM Charu C. Aggarwal, Yao Li, Philip S. Yu
2020	—	`conf`	SetConv: A New Approach for Learning from Imbalanced Data. EMNLP (1) Yang Gao, Yi-Fan Li, Yu Lin, Charu C. Aggarwal, Latifur Khan
2020	B	`conf`	Survey on Applications of Multi-Armed and Contextual Bandits. CEC Djallel Bouneffouf, Irina Rish, Charu C. Aggarwal
2020	B	`conf`	Survey on Automated End-to-End Data Science? IJCNN Djallel Bouneffouf, Charu C. Aggarwal, Thanh Hoang, Udayan Khurana, Horst Samulowitz, Beat Buesser, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray
2020	J	`jnl`	Text Style Transfer: A Review and Experiment Evaluation. CoRR Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal
2019	A	`conf`	Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings. CIKM Suhang Wang, Charu C. Aggarwal, Huan Liu
2019	A*	`conf`	Efficient Data Representation by Selecting Prototypes with Importance Weights. ICDM Karthik S. Gurumoorthy, Amit Dhurandhar, Guillermo A. Cecchi, Charu C. Aggarwal
2019	A*	`conf`	Efficient Global String Kernel with Random Features: Beyond Counting Substructures. KDD Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu C. Aggarwal
2019	J	`jnl`	Efficient Global String Kernel with Random Features: Beyond Counting Substructures. CoRR Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu C. Aggarwal
2019	B	`conf`	Ensemble Clustering for Novelty Detection in Data Streams. DS Kemilly Dearo Garcia, Elaine Ribeiro de Faria, Cláudio Rebelo de Sá, João Mendes-Moreira, Charu C. Aggarwal, André C. P. L. F. de Carvalho, Joost N. Kok
2019	A*	`conf`	Graph Convolutional Networks with EigenPooling. KDD Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang
2019	J	`jnl`	Graph Convolutional Networks with EigenPooling. CoRR Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang
2019	J	`jnl`	How can AI Automate End-to-End Data Science? CoRR Charu C. Aggarwal, Djallel Bouneffouf, Horst Samulowitz, Beat Buesser, Thanh Hoang, Udayan Khurana, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray
2019	J	`jnl`	Improving Classification Quality in Uncertain Graphs. ACM J. Data Inf. Qual. Michele Dallachiesa, Charu C. Aggarwal, Themis Palpanas
2019	A*	`conf`	Improving Spectral Clustering with Deep Embedding and Cluster Estimation. ICDM Liang Duan, Charu C. Aggarwal, Shuai Ma, Saket Sathe
2019	J	`jnl`	Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. CoRR Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2019	A*	`conf`	Meta Diagram Based Active Social Networks Alignment. ICDE Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang
2019	J	`jnl`	Meta Diagram based Active Social Networks Alignment. CoRR Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang
2019	A	`conf`	Multi-dimensional Graph Convolutional Networks. SDM Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
2019	A*	`conf`	Nearest Neighbor Classifiers Versus Random Forests and Support Vector Machines. ICDM Saket Sathe, Charu C. Aggarwal
2019	A*	`conf`	Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. KDD Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal
2019	J	`jnl`	Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. CoRR Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal
2019	A*	`conf`	Self-Attentive Attributed Network Embedding Through Adversarial Learning. ICDM Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang
2019	—	`conf`	The Link Regression Problem in Graph Streams. IEEE BigData Bowen Dong, Charu C. Aggarwal, Philip S. Yu
2019	B	`conf`	Transfer Learning for Network Classification. IJCNN Bowen Dong, Charu C. Aggarwal, Philip S. Yu
2018	—	`ed.`	2018 IEEE International Conference on Big Knowledge, ICBK 2018, Singapore, November 17-18, 2018 ICBK Xindong Wu, Yew-Soon Ong, Charu C. Aggarwal, Huanhuan Chen
2018	—	`ch.`	Classification in Streams. Encyclopedia of Database Systems (2nd ed.) Charu C. Aggarwal
2018	—	`ch.`	Counterterrorism, Social Network Analysis in. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Charu C. Aggarwal
2018	J	`jnl`	Editorial: TKDD Special Issue on Interactive Data Exploration and Analytics. ACM Trans. Knowl. Discov. Data Xindong Wu, Charu C. Aggarwal
2018	A*	`conf`	Ensemble Direct Density Ratio Estimation for Multistream Classification. ICDE Swarup Chandra, Ahsanul Haque, Hemeng Tao, Jie Liu, Latifur Khan, Charu C. Aggarwal
2018	A	`conf`	Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs. SDM Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal
2018	—	`conf`	Exploiting Knowledge Across Distinct Domains: Learning Event Details from Network Logs. MILCOM Muchen Wu, Charu C. Aggarwal, Zhou Yu, Ananthram Swami, Prasant Mohapatra
2018	A*	`conf`	Extracting Real-Time Insights from Graphs and Social Streams. SIGIR Charu C. Aggarwal
2018	A*	`conf`	Learning Deep Network Representations with Adversarially Regularized Autoencoders. KDD Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang
2018	A	`conf`	Modeling Co-Evolution Across Multiple Networks. SDM Wenchao Yu, Charu C. Aggarwal, Wei Wang
2018	J	`jnl`	Multi-dimensional Graph Convolutional Networks. CoRR Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
2018	A*	`conf`	NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. KDD Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang
2018	—	`book`	Neural Networks and Deep Learning - A Textbook Charu C. Aggarwal
2018	—	`ch.`	Privacy in Social Networks, Current and Future Research Trends on. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Charu C. Aggarwal
2018	J	`jnl`	Random-Forest-Inspired Neural Networks. ACM Trans. Intell. Syst. Technol. Suhang Wang, Charu C. Aggarwal, Huan Liu
2018	A*	`conf`	Scalable Spectral Clustering Using Random Binning Features. KDD Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal
2018	J	`jnl`	Scalable Spectral Clustering Using Random Binning Features. CoRR Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal
2018	A	`conf`	Signed Network Modeling Based on Structural Balance Theory. CIKM Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2018	J	`jnl`	Subspace histograms for outlier detection in linear time. Knowl. Inf. Syst. Saket Sathe, Charu C. Aggarwal
2018	—	`conf`	Temporally Evolving Community Detection and Prediction in Content-Centric Networks. ECML/PKDD (2) Ana Paula Appel, Renato Luiz de Freitas Cunha, Charu C. Aggarwal, Marcela Megumi Terakado
2018	J	`jnl`	Temporally Evolving Community Detection and Prediction in Content-Centric Networks. CoRR Ana Paula Appel, Renato Luiz de Freitas Cunha, Charu C. Aggarwal, Marcela Megumi Terakado
2018	A*	`conf`	You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. KDD Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal
2017	J	`jnl`	An Ensemble Approach to Link Prediction. IEEE Trans. Knowl. Data Eng. Liang Duan, Shuai Ma, Charu C. Aggarwal, Tiejun Ma, Jinpeng Huai
2017	A	`conf`	Attributed Signed Network Embedding. CIKM Suhang Wang, Charu C. Aggarwal, Jiliang Tang, Huan Liu
2017	A*	`conf`	BiCycle: Item Recommendation with Life Cycles. ICDM Xinyue Liu, Yuanfang Song, Charu C. Aggarwal, Yao Zhang, Xiangnan Kong
2017	J	`jnl`	Big Data. IEEE Intell. Syst. Weike Pan, Qiang Yang, Charu C. Aggarwal, Christoph Koch
2017	A*	`conf`	Efficient Multistream Classification Using Direct Density Ratio Estimation. ICDE Ahsanul Haque, Swarup Chandra, Latifur Khan, Kevin W. Hamlen, Charu C. Aggarwal
2017	A	`conf`	Exploiting Hierarchical Structures for Unsupervised Feature Selection. SDM Suhang Wang, Yilin Wang, Jiliang Tang, Charu C. Aggarwal, Suhas Ranganath, Huan Liu
2017	—	`ch.`	Graph Clustering. Encyclopedia of Machine Learning and Data Mining Charu C. Aggarwal
2017	J	`jnl`	Guest Editorial: Big Media Data: Understanding, Search, and Mining. IEEE Trans. Big Data Jingdong Wang, Guo-Jun Qi, Nicu Sebe, Charu C. Aggarwal
2017	A*	`conf`	Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes. KDD Pengfei Wang, Yanjie Fu, Guannan Liu, Wenqing Hu, Charu C. Aggarwal
2017	J	`jnl`	Introduction to Special Issue on the Best Papers from KDD 2016. ACM Trans. Knowl. Discov. Data Charu C. Aggarwal
2017	J	`jnl`	Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes. CoRR Guo-Jun Qi, Wei Liu, Charu C. Aggarwal, Thomas S. Huang
2017	J	`jnl`	Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes. IEEE Trans. Pattern Anal. Mach. Intell. Guo-Jun Qi, Wei Liu, Charu C. Aggarwal, Thomas S. Huang
2017	A*	`conf`	Kernel-Based Feature Extraction for Collaborative Filtering. ICDM Saket Sathe, Charu C. Aggarwal, Xiangnan Kong, Xinyue Liu
2017	A*	`conf`	Link Prediction with Spatial and Temporal Consistency in Dynamic Networks. IJCAI Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang
2017	J	`jnl`	Mining Social Streams: Models and Applications. IEEE Data Eng. Bull. Karthik Subbian, Charu C. Aggarwal
2017	A*	`conf`	On Edge Classification in Networks with Structure and Content. ICDE Charu C. Aggarwal, Yao Li, Philip S. Yu, Yuchen Zhao
2017	J	`jnl`	On sensor selection in linked information networks. Comput. Networks Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun
2017	J	`jnl`	Outlier Detection for Text Data : An Extended Version. CoRR Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal, Haesun Park
2017	A	`conf`	Outlier Detection for Text Data. SDM Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal, Haesun Park
2017	A	`conf`	Outlier Detection in Sparse Data with Factorization Machines. CIKM Mengxiao Zhu, Charu C. Aggarwal, Shuai Ma, Hui Zhang, Jinpeng Huai
2017	A	`conf`	Outlier Detection with Autoencoder Ensembles. SDM Jinghui Chen, Saket Sathe, Charu C. Aggarwal, Deepak S. Turaga
2017	—	`book`	Outlier Ensembles - An Introduction Charu C. Aggarwal, Saket Sathe
2017	A*	`conf`	REMIX: Automated Exploration for Interactive Outlier Detection. KDD Yanjie Fu, Charu C. Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, Hui Xiong
2017	J	`jnl`	REMIX: Automated Exploration for Interactive Outlier Detection. CoRR Yanjie Fu, Charu C. Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, Hui Xiong
2017	A*	`conf`	Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods. KDD Suhang Wang, Charu C. Aggarwal, Huan Liu
2017	—	`conf`	Real Time Social Attitude Expression Prediction. BigData Congress Jiawei Zhang, Philip S. Yu, Charu C. Aggarwal, Limeng Cui
2017	A	`conf`	Rumor Initiator Detection in Infected Signed Networks. ICDCS Jiawei Zhang, Charu C. Aggarwal, Philip S. Yu
2017	A	`conf`	Signed Network Embedding in Social Media. SDM Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu
2017	J	`jnl`	Signed Network Modeling Based on Structural Balance Theory. CoRR Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2017	A*	`conf`	Similarity Forests. KDD Saket Sathe, Charu C. Aggarwal
2017	A*	`conf`	Stock Price Prediction via Discovering Multi-Frequency Trading Patterns. KDD Liheng Zhang, Charu C. Aggarwal, Guo-Jun Qi
2017	A	`conf`	Temporally Factorized Network Modeling for Evolutionary Network Analysis. WSDM Wenchao Yu, Charu C. Aggarwal, Wei Wang
2017	J	`jnl`	Toward query-friendly compression of rapid graph streams. Soc. Netw. Anal. Min. Arijit Khan, Charu C. Aggarwal
2017	A*	`conf`	Unsupervised P2P Rental Recommendations via Integer Programming. KDD Yanjie Fu, Guannan Liu, Mingfei Teng, Charu C. Aggarwal
2017	A*	`conf`	Unveiling polarization in social networks: A matrix factorization approach. INFOCOM Md. Tanvir Al Amin, Charu C. Aggarwal, Shuochao Yao, Tarek F. Abdelzaher, Lance M. Kaplan
2017	A	`conf`	Using a Random Forest to Inspire a Neural Network and Improving on It. SDM Suhang Wang, Charu C. Aggarwal, Huan Liu
2016	J	`jnl`	A Survey of Signed Network Mining in Social Media. ACM Comput. Surv. Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu
2016	A	`conf`	An Adaptive Framework for Multistream Classification. CIKM Swarup Chandra, Ahsanul Haque, Latifur Khan, Charu C. Aggarwal
2016	A*	`conf`	An embedding approach to anomaly detection. ICDE Renjun Hu, Charu C. Aggarwal, Shuai Ma, Jinpeng Huai
2016	A*	`conf`	Edge classification in networks. ICDE Charu C. Aggarwal, Gewen He, Peixiang Zhao
2016	A*	`conf`	Efficient Sampling-Based Kernel Mean Matching. ICDM Swarup Chandra, Ahsanul Haque, Latifur Khan, Charu C. Aggarwal
2016	A*	`conf`	Efficient handling of concept drift and concept evolution over Stream Data. ICDE Ahsanul Haque, Latifur Khan, Michael Baron, Bhavani Thuraisingham, Charu C. Aggarwal
2016	J	`jnl`	Guest Editorial: Big Media Data: Understanding, Search, and Mining. IEEE Trans. Big Data Jingdong Wang, Guo-Jun Qi, Nicu Sebe, Charu C. Aggarwal
2016	A	`conf`	Kernelized Matrix Factorization for Collaborative Filtering. SDM Xinyue Liu, Charu C. Aggarwal, Yufeng Li, Xiangnan Kong, Xinyuan Sun, Saket Sathe
2016	A	`conf`	LODES: Local Density Meets Spectral Outlier Detection. SDM Saket Sathe, Charu C. Aggarwal
2016	J	`jnl`	Large-scale supervised similarity learning in networks. Knowl. Inf. Syst. Shiyu Chang, Guo-Jun Qi, Yingzhen Yang, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang
2016	A*	`conf`	Link prediction in graph streams. ICDE Peixiang Zhao, Charu C. Aggarwal, Gewen He
2016	A	`conf`	Linked Document Embedding for Classification. CIKM Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Huan Liu
2016	J	`jnl`	Managing dimensionality in data privacy anonymization. Knowl. Inf. Syst. Hessam Zakerzadeh, Charu C. Aggarwal, Ken Barker
2016	J	`jnl`	Mining Influencers Using Information Flows in Social Streams. ACM Trans. Knowl. Discov. Data Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava
2016	A	`conf`	Node Classification in Signed Social Networks. SDM Jiliang Tang, Charu C. Aggarwal, Huan Liu
2016	A*	`conf`	On Dense Subgraphs in Signed Network Streams. ICDM Jose Cadena, Anil Kumar S. Vullikanti, Charu C. Aggarwal
2016	J	`jnl`	Online Behavioral Analysis and Modeling [Guest Editorial]. IEEE Intell. Syst. Peng Cui, Huan Liu, Charu C. Aggarwal, Fei Wang
2016	A*	`ed.`	Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016 KDD Balaji Krishnapuram, Mohak Shah, Alexander J. Smola, Charu C. Aggarwal, Dou Shen, Rajeev Rastogi
2016	B	`conf`	Query-friendly compression of graph streams. ASONAM Arijit Khan, Charu C. Aggarwal
2016	A	`conf`	Querying and Tracking Influencers in Social Streams. WSDM Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava
2016	A	`conf`	Recommendations For Streaming Data. CIKM Karthik Subbian, Charu C. Aggarwal, Kshiteesh Hegde
2016	A*	`conf`	Recommendations in Signed Social Networks. WWW Jiliang Tang, Charu C. Aggarwal, Huan Liu
2016	—	`book`	Recommender Systems - The Textbook Charu C. Aggarwal
2016	J	`jnl`	Recurring and Novel Class Detection Using Class-Based Ensemble for Evolving Data Stream. IEEE Trans. Knowl. Data Eng. Tahseen Al-Khateeb, Mohammad M. Masud, Khaled Al-Naami, Sadi Evren Seker, Ahmad M. Mustafa, Latifur Khan, Zouheir Trabelsi, Charu C. Aggarwal, Jiawei Han
2016	—	`conf`	Recursive Ground Truth Estimator for Social Data Streams. IPSN Shuochao Yao, Md. Tanvir Al Amin, Lu Su, Shaohan Hu, Shen Li, Shiguang Wang, Yiran Zhao, Tarek F. Abdelzaher, Lance M. Kaplan, Charu C. Aggarwal, Aylin Yener
2016	—	`conf`	Sampling-based distributed Kernel mean matching using spark. IEEE BigData Ahsanul Haque, Zhuoyi Wang, Swarup Chandra, Yupeng Gao, Latifur Khan, Charu C. Aggarwal
2016	A	`conf`	Scaling up Link Prediction with Ensembles. WSDM Liang Duan, Charu C. Aggarwal, Shuai Ma, Renjun Hu, Jinpeng Huai
2016	A*	`conf`	Subspace Outlier Detection in Linear Time with Randomized Hashing. ICDM Saket Sathe, Charu C. Aggarwal
2016	A	`conf`	The Troll-Trust Model for Ranking in Signed Networks. WSDM Zhaoming Wu, Charu C. Aggarwal, Jimeng Sun
2016	—	`conf`	Trust Hole Identification in Signed Networks. ECML/PKDD (1) Jiawei Zhang, Qianyi Zhan, Lifang He, Charu C. Aggarwal, Philip S. Yu
2016	J	`jnl`	Uncovering and Predicting Human Behaviors. IEEE Intell. Syst. Peng Cui, Huan Liu, Charu C. Aggarwal, Fei Wang
2015	A*	`ed.`	2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015 ICDM Charu C. Aggarwal, Zhi-Hua Zhou, Alexander Tuzhilin, Hui Xiong, Xindong Wu
2015	J	`jnl`	A Survey of Signed Network Mining in Social Media. CoRR Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu
2015	—	`ch.`	An Introduction to Healthcare Data Analytics. Healthcare Data Analytics Chandan K. Reddy, Charu C. Aggarwal
2015	—	`conf`	Big Graph Privacy. EDBT/ICDT Workshops Hessam Zakerzadeh, Charu C. Aggarwal, Ken Barker
2015	J	`jnl`	Breaking the Barrier to Transferring Link Information across Networks. IEEE Trans. Knowl. Data Eng. Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang
2015	—	`book`	Data Mining - The Textbook Charu C. Aggarwal
2015	A	`conf`	GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data. SDM Jialu Liu, Chi Wang, Jing Gao, Quanquan Gu, Charu C. Aggarwal, Lance M. Kaplan, Jiawei Han
2015	J	`jnl`	Guest Editorial: Big Media Data: Understanding, Search, and Mining (Part 2). IEEE Trans. Big Data Jingdong Wang, Guo-Jun Qi, Nicu Sebe, Charu C. Aggarwal
2015	J	`jnl`	Guest Editorial: Big Media Data: Understanding, Search, and Mining. IEEE Trans. Big Data Jingdong Wang, Guo-Jun Qi, Nicu Sebe, Charu C. Aggarwal
2015	—	`book`	Healthcare Data Analytics. Chandan K. Reddy, Charu C. Aggarwal
2015	A*	`conf`	Heterogeneous Network Embedding via Deep Architectures. KDD Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang
2015	J	`jnl`	Joint Source Selection and Data Extrapolation in Social Sensing for Disaster Response. CoRR Mohammad Hosseini, Nooreddin Naghibolhosseini, Amotz Barnoy, Peter Terlecky, Hengchang Liu, Shaohan Hu, Shiguang Wang, Md. Tanvir Al Amin, Lu Su, Dong Wang, Ramesh Govindan, Raghu K. Ganti, Mudhakar Srivatsa, Charu C. Aggarwal, Tarek F. Abdelzaher, Siyu Gu, Chenji Pan
2015	A	`conf`	Negative Link Prediction in Social Media. WSDM Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu
2015	A	`conf`	On Integrating Network and Community Discovery. WSDM Jialu Liu, Charu C. Aggarwal, Jiawei Han
2015	A*	`conf`	On historical diagnosis of sensor streams. ICDE Charu C. Aggarwal, Philip S. Yu
2015	J	`jnl`	On the anonymizability of graphs. Knowl. Inf. Syst. Charu C. Aggarwal, Yao Li, Philip S. Yu
2015	B	`conf`	Privacy-preserving big data publishing. SSDBM Hessam Zakerzadeh, Charu C. Aggarwal, Ken Barker
2015	A	`ed.`	Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015 CIKM James Bailey, Alistair Moffat, Charu C. Aggarwal, Maarten de Rijke, Ravi Kumar, Vanessa Murdock, Timos K. Sellis, Jeffrey Xu Yu
2015	A	`conf`	Rare Class Detection in Networks. SDM Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Vipin Kumar
2015	A*	`conf`	STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream. ICDE Wei Feng, Chao Zhang, Wei Zhang, Jiawei Han, Jianyong Wang, Charu C. Aggarwal, Jianbin Huang
2015	A*	`conf`	State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness. KDD Guo-Jun Qi, Charu C. Aggarwal, Deepak S. Turaga, Daby M. Sow, Phil Anno
2015	J	`jnl`	Theoretical Foundations and Algorithms for Outlier Ensembles. SIGKDD Explor. Charu C. Aggarwal, Saket Sathe
2015	A	`conf`	Towards Classification of Social Streams. SDM Min-Hsuan Tsai, Charu C. Aggarwal, Thomas S. Huang
2014	—	`ed.`	2014 IEEE International Conference on Big Data (IEEE BigData 2014), Washington, DC, USA, October 27-30, 2014 IEEE BigData Jimmy Lin, Jian Pei, Xiaohua Hu, Wo Chang, Raghunath Nambiar, Charu C. Aggarwal, Nick Cercone, Vasant G. Honavar, Jun Huan, Bamshad Mobasher, Saumyadipta Pyne
2014	B	`conf`	A Condensation Approach to Privacy Preserving Data Mining. EDBT Charu C. Aggarwal, Philip S. Yu
2014	—	`ch.`	A Survey of Stream Classification Algorithms. Data Classification: Algorithms and Applications Charu C. Aggarwal
2014	J	`jnl`	A framework for dynamic link prediction in heterogeneous networks. Stat. Anal. Data Min. Charu C. Aggarwal, Yan Xie, Philip S. Yu
2014	—	`ch.`	Active Learning: A Survey. Data Classification: Algorithms and Applications Charu C. Aggarwal, Xiangnan Kong, Quanquan Gu, Jiawei Han, Philip S. Yu
2014	—	`ch.`	An Introduction to Data Classification. Data Classification: Algorithms and Applications Charu C. Aggarwal
2014	—	`ch.`	An Introduction to Frequent Pattern Mining. Frequent Pattern Mining Charu C. Aggarwal
2014	—	`ch.`	Applications of Frequent Pattern Mining. Frequent Pattern Mining Charu C. Aggarwal
2014	—	`ch.`	Counterterrorism, Social Network Analysis In. Encyclopedia of Social Network Analysis and Mining Charu C. Aggarwal
2014	—	`book`	Data Classification: Algorithms and Applications Charu C. Aggarwal
2014	—	`book`	Data Clustering: Algorithms and Applications Charu C. Aggarwal, Chandan K. Reddy
2014	B	`conf`	Data Extrapolation in Social Sensing for Disaster Response. DCOSS Siyu Gu, Chenji Pan, Hengchang Liu, Shen Li, Shaohan Hu, Lu Su, Shiguang Wang, Dong Wang, Md. Tanvir Al Amin, Ramesh Govindan, Charu C. Aggarwal, Raghu K. Ganti, Mudhakar Srivatsa, Amotz Barnoy, Peter Terlecky, Tarek F. Abdelzaher
2014	—	`conf`	Distributed Adaptive Importance Sampling on graphical models using MapReduce. IEEE BigData Ahsanul Haque, Swarup Chandra, Latifur Khan, Charu C. Aggarwal
2014	—	`ch.`	Educational and Software Resources for Data Classification. Data Classification: Algorithms and Applications Charu C. Aggarwal
2014	J	`jnl`	Evolutionary Network Analysis: A Survey. ACM Comput. Surv. Charu C. Aggarwal, Karthik Subbian
2014	A*	`conf`	Factorized Similarity Learning in Networks. ICDM Shiyu Chang, Guo-Jun Qi, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang
2014	—	`book`	Frequent Pattern Mining Frequent Pattern Mining Charu C. Aggarwal, Jiawei Han
2014	—	`ch.`	Frequent Pattern Mining Algorithms: A Survey. Frequent Pattern Mining Charu C. Aggarwal, Mansurul Bhuiyan, Mohammad Al Hasan
2014	—	`ch.`	Instance-Based Learning: A Survey. Data Classification: Algorithms and Applications Charu C. Aggarwal
2014	A*	`conf`	Learning Local Semantic Distances with Limited Supervision. ICDM Shiyu Chang, Charu C. Aggarwal, Thomas S. Huang
2014	J	`jnl`	Negative Link Prediction in Social Media. CoRR Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu
2014	J	`jnl`	Node Classification in Uncertain Graphs. CoRR Michele Dallachiesa, Charu C. Aggarwal, Themis Palpanas
2014	B	`conf`	Node classification in uncertain graphs. SSDBM Michele Dallachiesa, Charu C. Aggarwal, Themis Palpanas
2014	J	`jnl`	On the Use of Side Information for Mining Text Data. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu
2014	—	`conf`	One, Two, Hash! Counting Hash Tables for Flash Devices. CODS Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy
2014	—	`book`	Outlier Detection for Temporal Data Manish Gupta, Jing Gao, Charu C. Aggarwal, Jiawei Han
2014	J	`jnl`	Outlier Detection for Temporal Data: A Survey. IEEE Trans. Knowl. Data Eng. Manish Gupta, Jing Gao, Charu C. Aggarwal, Jiawei Han
2014	—	`ch.`	Privacy in Social Networks, Current and Future Research Trends on. Encyclopedia of Social Network Analysis and Mining Charu C. Aggarwal
2014	A	`conf`	Ranking in heterogeneous social media. WSDM Min-Hsuan Tsai, Charu C. Aggarwal, Thomas S. Huang
2014	—	`ch.`	Rare Class Learning. Data Classification: Algorithms and Applications Charu C. Aggarwal
2014	—	`conf`	Scalable Information Flow Mining in Networks. ECML/PKDD (3) Karthik Subbian, Chidananda Sridhar, Charu C. Aggarwal, Jaideep Srivastava
2014	A*	`conf`	Stream Mining Using Statistical Relational Learning. ICDM Swarup Chandra, Justin Sahs, Latifur Khan, Bhavani Thuraisingham, Charu C. Aggarwal
2014	—	`ch.`	Text Classification. Data Classification: Algorithms and Applications Charu C. Aggarwal, ChengXiang Zhai
2014	A*	`conf`	The setwise stream classification problem. KDD Charu C. Aggarwal
2014	A	`conf`	Towards Breaking the Curse of Dimensionality for High-Dimensional Privacy. SDM Hessam Zakerzadeh, Charu C. Aggarwal, Ken Barker
2014	J	`jnl`	Towards Breaking the Curse of Dimensionality for High-Dimensional Privacy: An Extended Version. CoRR Hessam Zakerzadeh, Charu C. Aggarwal, Ken Barker
2014	—	`conf`	Using humans as sensors: an estimation-theoretic perspective. IPSN Dong Wang, Md. Tanvir Al Amin, Shen Li, Tarek F. Abdelzaher, Lance M. Kaplan, Siyu Gu, Chenji Pan, Hengchang Liu, Charu C. Aggarwal, Raghu K. Ganti, Xinlei Wang, Prasant Mohapatra, Boleslaw K. Szymanski, Hieu Khac Le
2013	—	`ch.`	A Survey of RFID Data Processing. Managing and Mining Sensor Data Charu C. Aggarwal, Jiawei Han
2013	—	`ch.`	A Survey of Stream Clustering Algorithms. Data Clustering: Algorithms and Applications Charu C. Aggarwal
2013	—	`ch.`	A Survey of Uncertain Data Clustering Algorithms. Data Clustering: Algorithms and Applications Charu C. Aggarwal
2013	—	`ch.`	An Introduction to Cluster Analysis. Data Clustering: Algorithms and Applications Charu C. Aggarwal
2013	—	`ch.`	An Introduction to Sensor Data Analytics. Managing and Mining Sensor Data Charu C. Aggarwal
2013	J	`jnl`	Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams. IEEE Trans. Knowl. Data Eng. Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Ashok Srivastava, Nikunj C. Oza
2013	A	`conf`	Community Detection with Prior Knowledge. SDM Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Philip S. Yu
2013	A	`conf`	Content-centric flow mining for influence analysis in social streams. CIKM Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava
2013	—	`ch.`	Educational and Software Resources for Data Clustering. Data Clustering: Algorithms and Applications Charu C. Aggarwal, Chandan K. Reddy
2013	—	`conf`	Hash in a flash: Hash tables for flash devices. IEEE BigData Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy
2013	A*	`conf`	Link prediction across networks by biased cross-network sampling. ICDE Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang
2013	—	`book`	Managing and Mining Sensor Data Managing and Mining Sensor Data Charu C. Aggarwal
2013	—	`ch.`	Mining Sensor Data Streams. Managing and Mining Sensor Data Charu C. Aggarwal
2013	A*	`conf`	Mining collective intelligence in diverse groups. WWW Guo-Jun Qi, Charu C. Aggarwal, Jiawei Han, Thomas S. Huang
2013	J	`jnl`	Mining text and social streams: a review. SIGKDD Explor. Charu C. Aggarwal
2013	J	`jnl`	NeMa: Fast Graph Search with Label Similarity. Proc. VLDB Endow. Arijit Khan, Yinghui Wu, Charu C. Aggarwal, Xifeng Yan
2013	A*	`conf`	On Anomalous Hotspot Discovery in Graph Streams. ICDM Weiren Yu, Charu C. Aggarwal, Shuai Ma, Haixun Wang
2013	J	`jnl`	On Credibility Estimation Tradeoffs in Assured Social Sensing. IEEE J. Sel. Areas Commun. Dong Wang, Lance M. Kaplan, Tarek F. Abdelzaher, Charu C. Aggarwal
2013	J	`jnl`	On the Analytical Properties of High-Dimensional Randomization. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal
2013	A	`conf`	Online community detection in social sensing. WSDM Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang
2013	—	`book`	Outlier Analysis Charu C. Aggarwal
2013	A	`conf`	Recursive Fact-Finding: A Streaming Approach to Truth Estimation in Crowdsourcing Applications. ICDCS Dong Wang, Tarek F. Abdelzaher, Lance M. Kaplan, Charu C. Aggarwal
2013	A*	`conf`	Selective sampling on graphs for classification. KDD Quanquan Gu, Charu C. Aggarwal, Jialu Liu, Jiawei Han
2013	—	`ch.`	Social Sensing. Managing and Mining Sensor Data Charu C. Aggarwal, Tarek F. Abdelzaher
2013	—	`ch.`	The Internet of Things: A Survey from the Data-Centric Perspective. Managing and Mining Sensor Data Charu C. Aggarwal, Naveen Ashish, Amit P. Sheth
2013	—	`ch.`	Time-Series Data Clustering. Data Clustering: Algorithms and Applications Dimitrios Kotsakos, Goce Trajcevski, Dimitrios Gunopulos, Charu C. Aggarwal
2013	J	`jnl`	Towards graphical models for text processing. Knowl. Inf. Syst. Charu C. Aggarwal, Peixiang Zhao
2013	A	`conf`	Unsupervised Link Selection in Networks. AISTATS Quanquan Gu, Charu C. Aggarwal, Jiawei Han
2012	—	`ch.`	A Survey of Text Classification Algorithms. Mining Text Data Charu C. Aggarwal, ChengXiang Zhai
2012	—	`ch.`	A Survey of Text Clustering Algorithms. Mining Text Data Charu C. Aggarwal, ChengXiang Zhai
2012	J	`jnl`	A segment-based framework for modeling and mining data streams. Knowl. Inf. Syst. Charu C. Aggarwal
2012	—	`ch.`	An Introduction to Text Mining. Mining Text Data Charu C. Aggarwal, ChengXiang Zhai
2012	A*	`conf`	Community Detection with Edge Content in Social Media Networks. ICDE Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang
2012	A	`conf`	Event Detection in Social Streams. SDM Charu C. Aggarwal, Karthik Subbian
2012	J	`jnl`	Exploring Context and Content Links in Social Media: A Latent Space Method. IEEE Trans. Pattern Anal. Mach. Intell. Guo-Jun Qi, Charu C. Aggarwal, Qi Tian, Heng Ji, Thomas S. Huang
2012	—	`ch.`	From Combinatorial Optimization to Data Mining. Journeys to Data Mining Charu C. Aggarwal
2012	J	`jnl`	Guest editorial: special issue on data mining technologies for computational social science. Data Min. Knowl. Discov. Fei Wang, Hanghang Tong, Philip S. Yu, Charu C. Aggarwal
2012	J	`jnl`	Hash in a Flash: Hash Tables for Solid State Devices CoRR Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy
2012	J	`jnl`	Learning from Collective Intelligence in Groups CoRR Guo-Jun Qi, Charu C. Aggarwal, Pierre Moulin, Thomas S. Huang
2012	—	`book`	Mining Text Data Charu C. Aggarwal, ChengXiang Zhai
2012	—	`ch.`	Mining Text Streams. Mining Text Data Charu C. Aggarwal
2012	A	`conf`	On Dynamic Link Inference in Heterogeneous Networks. SDM Charu C. Aggarwal, Yan Xie, Philip S. Yu
2012	A	`conf`	On Influential Node Discovery in Dynamic Social Networks. SDM Charu C. Aggarwal, Shuyang Lin, Philip S. Yu
2012	A*	`conf`	On Text Clustering with Side Information. ICDE Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu
2012	A	`conf`	On clustering heterogeneous social media objects with outlier links. WSDM Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang
2012	B	`conf`	On scalability and robustness limitations of real and asymptotic confidence bounds in social sensing. SECON Dong Wang, Lance M. Kaplan, Tarek F. Abdelzaher, Charu C. Aggarwal
2012	J	`jnl`	On supervised mining of dynamic content-based networks. Stat. Anal. Data Min. Charu C. Aggarwal, Nan Li
2012	J	`jnl`	On the equivalence of PLSI and projected clustering. SIGMOD Rec. Charu C. Aggarwal
2012	J	`jnl`	On the network effect in Web 2.0 applications. Electron. Commer. Res. Appl. Charu C. Aggarwal, Philip S. Yu
2012	J	`jnl`	Outlier ensembles: position paper. SIGKDD Explor. Charu C. Aggarwal
2012	J	`jnl`	Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes CoRR Yizhou Sun, Charu C. Aggarwal, Jiawei Han
2012	J	`jnl`	Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes. Proc. VLDB Endow. Yizhou Sun, Charu C. Aggarwal, Jiawei Han
2012	A*	`conf`	Reliable Clustering on Uncertain Graphs. ICDM Lin Liu, Ruoming Jin, Charu C. Aggarwal, Yelong Shen
2012	B	`conf`	Searching by corpus with fingerprints. EDBT Charu C. Aggarwal, Wangqun Lin, Philip S. Yu
2012	A*	`conf`	Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble. ICDM Tahseen Al-Khateeb, Mohammad M. Masud, Latifur Khan, Charu C. Aggarwal, Jiawei Han, Bhavani Thuraisingham
2012	A	`conf`	The Multi-Set Stream Clustering Problem. SDM Charu C. Aggarwal
2012	A	`conf`	Transfer Learning of Distance Metrics by Cross-Domain Metric Sampling across Heterogeneous Spaces. SDM Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang
2012	A	`conf`	When will it happen?: relationship prediction in heterogeneous information networks. WSDM Yizhou Sun, Jiawei Han, Charu C. Aggarwal, Nitesh V. Chawla
2011	—	`ch.`	An Introduction to Social Network Data Analytics. Social Network Data Analytics Charu C. Aggarwal
2011	B	`conf`	Co-author Relationship Prediction in Heterogeneous Bibliographic Networks. ASONAM Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal, Jiawei Han
2011	—	`ch.`	Data Mining (Privacy in). Encyclopedia of Cryptography and Security (2nd Ed.) Charu C. Aggarwal
2011	A*	`conf`	Detecting Recurring and Novel Classes in Concept-Drifting Data Streams. ICDM Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham
2011	A*	`conf`	Discovering highly reliable subgraphs in uncertain graphs. KDD Ruoming Jin, Lin Liu, Charu C. Aggarwal
2011	B	`conf`	Evolutionary Clustering and Analysis of Bibliographic Networks. ASONAM Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizhou Sun
2011	B	`conf`	Finding Top-k Shortest Path Distance Changes in an Evolutionary Network. SSTD Manish Gupta, Charu C. Aggarwal, Jiawei Han
2011	—	`ch.`	Integrating Sensors and Social Networks. Social Network Data Analytics Charu C. Aggarwal, Tarek F. Abdelzaher
2011	A	`conf`	On Anonymization of Multi-graphs. SDM Chun Li, Charu C. Aggarwal, Jianyong Wang
2011	C	`conf`	On Bayesian interpretation of fact-finding in information networks. FUSION Dong Wang, Tarek F. Abdelzaher, Hossein Ahmadi, Jeff Pasternack, Dan Roth, Manish Gupta, Jiawei Han, Omid Fatemieh, Hieu Khac Le, Charu C. Aggarwal
2011	A	`conf`	On Classification of Graph Streams. SDM Charu C. Aggarwal
2011	A	`conf`	On Flow Authority Discovery in Social Networks. SDM Charu C. Aggarwal, Arijit Khan, Xifeng Yan
2011	A	`conf`	On Node Classification in Dynamic Content-based Networks. SDM Charu C. Aggarwal, Nan Li
2011	A*	`conf`	On dimensionality reduction of massive graphs for indexing and retrieval. ICDE Charu C. Aggarwal, Haixun Wang
2011	A*	`conf`	On dynamic data-driven selection of sensor streams. KDD Charu C. Aggarwal, Yan Xie, Philip S. Yu
2011	B	`conf`	On sensor selection in linked information networks. DCOSS Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun
2011	A*	`conf`	On the Hardness of Graph Anonymization. ICDM Charu C. Aggarwal, Yao Li, Philip S. Yu
2011	B	`conf`	Optimizing quality-of-information in cost-sensitive sensor data fusion. DCOSS Dong Wang, Hossein Ahmadi, Tarek F. Abdelzaher, Harshavardhan Chenji, Radu Stoleru, Charu C. Aggarwal
2011	A*	`conf`	Outlier detection in graph streams. ICDE Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu
2011	—	`book`	Social Network Data Analytics Charu C. Aggarwal
2011	—	`ch.`	Text Mining in Social Networks. Social Network Data Analytics Charu C. Aggarwal, Haixun Wang
2011	A	`conf`	Towards Community Detection in Locally Heterogeneous Networks. SDM Charu C. Aggarwal, Yan Xie, Philip S. Yu
2011	A*	`conf`	Towards cross-category knowledge propagation for learning visual concepts. CVPR Guo-Jun Qi, Charu C. Aggarwal, Yong Rui, Qi Tian, Shiyu Chang, Thomas S. Huang
2011	A*	`conf`	Towards semantic knowledge propagation from text corpus to web images. WWW Guojun Qi, Charu C. Aggarwal, Thomas S. Huang
2011	J	`jnl`	gSketch: On Query Estimation in Graph Streams CoRR Peixiang Zhao, Charu C. Aggarwal, Min Wang
2011	J	`jnl`	gSketch: On Query Estimation in Graph Streams. Proc. VLDB Endow. Peixiang Zhao, Charu C. Aggarwal, Min Wang
2010	—	`ch.`	A Survey of Algorithms for Dense Subgraph Discovery. Managing and Mining Graph Data Victor E. Lee, Ning Ruan, Ruoming Jin, Charu C. Aggarwal
2010	—	`ch.`	A Survey of Algorithms for Keyword Search on Graph Data. Managing and Mining Graph Data Haixun Wang, Charu C. Aggarwal
2010	—	`ch.`	A Survey of Clustering Algorithms for Graph Data. Managing and Mining Graph Data Charu C. Aggarwal, Haixun Wang
2010	J	`jnl`	A framework for clustering massive graph streams. Stat. Anal. Data Min. Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu
2010	A*	`conf`	Addressing Concept-Evolution in Concept-Drifting Data Streams. ICDM Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham
2010	—	`ch.`	An Introduction to Graph Data. Managing and Mining Graph Data Charu C. Aggarwal, Haixun Wang
2010	—	`ch.`	Data Streams: An Overview and Scientific Applications. Scientific Data Mining and Knowledge Discovery Charu C. Aggarwal
2010	—	`ch.`	Graph Clustering. Encyclopedia of Machine Learning Charu C. Aggarwal
2010	—	`ch.`	Graph Data Management and Mining: A Survey of Algorithms and Applications. Managing and Mining Graph Data Charu C. Aggarwal, Haixun Wang
2010	A*	`conf`	Graphical models for text: a new paradigm for text representation and processing. SIGIR Charu C. Aggarwal, Peixiang Zhao
2010	—	`book`	Managing and Mining Graph Data Managing and Mining Graph Data Charu C. Aggarwal, Haixun Wang
2010	A	`conf`	On Classification of High-Cardinality Data Streams. SDM Charu C. Aggarwal, Philip S. Yu
2010	A	`conf`	On Clustering Graph Streams. SDM Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu
2010	J	`jnl`	On Dense Pattern Mining in Graph Streams. Proc. VLDB Endow. Charu C. Aggarwal, Yao Li, Philip S. Yu, Ruoming Jin
2010	A	`conf`	On Multidimensional Sharpening of Uncertain Data. SDM Charu C. Aggarwal
2010	J	`jnl`	On clustering massive text and categorical data streams. Knowl. Inf. Syst. Charu C. Aggarwal, Philip S. Yu
2010	A	`conf`	On wavelet decomposition of uncertain time series data sets. CIKM Yuchen Zhao, Charu C. Aggarwal, Philip S. Yu
2010	A	`conf`	The Generalized Dimensionality Reduction Problem. SDM Charu C. Aggarwal
2010	J	`jnl`	The Inverse Classification Problem. J. Comput. Sci. Technol. Charu C. Aggarwal, Chen Chen, Jiawei Han
2009	A*	`conf`	A Framework for Clustering Massive-Domain Data Streams. ICDE Charu C. Aggarwal
2009	J	`jnl`	A Survey of Uncertain Data Algorithms and Applications. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Philip S. Yu
2009	J	`jnl`	CONTOUR: an efficient algorithm for discovering discriminating subsequences. Data Min. Knowl. Discov. Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal
2009	—	`ch.`	Classification in Streams. Encyclopedia of Database Systems Charu C. Aggarwal
2009	A*	`conf`	Frequent pattern mining with uncertain data. KDD Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wang
2009	J	`jnl`	GConnect: A Connectivity Index for Massive Disk-resident Graphs. Proc. VLDB Endow. Charu C. Aggarwal, Yan Xie, Philip S. Yu
2009	—	`book`	Managing and Mining Uncertain Data Charu C. Aggarwal
2009	A*	`conf`	On Efficient Query Processing of Stream Counts on the Cell Processor. ICDE Dina Thomas, Rajesh Bordawekar, Charu C. Aggarwal, Philip S. Yu
2009	A*	`conf`	On High Dimensional Projected Clustering of Uncertain Data Streams. ICDE Charu C. Aggarwal
2009	A	`conf`	On Segment-Based Stream Modeling and Its Applications. SDM Charu C. Aggarwal
2009	J	`jnl`	On classification and segmentation of massive audio data streams. Knowl. Inf. Syst. Charu C. Aggarwal
2009	B	`conf`	Online Auctions: There Can Be Only One. CEC Charu C. Aggarwal, Philip S. Yu
2008	A*	`conf`	A Framework for Clustering Uncertain Data Streams. ICDE Charu C. Aggarwal, Philip S. Yu
2008	—	`ch.`	A General Survey of Privacy-Preserving Data Mining Models and Algorithms. Privacy-Preserving Data Mining Charu C. Aggarwal, Philip S. Yu
2008	—	`ch.`	A Survey of Randomization Methods for Privacy-Preserving Data Mining. Privacy-Preserving Data Mining Charu C. Aggarwal, Philip S. Yu
2008	J	`jnl`	A framework for condensation-based anonymization of string data. Data Min. Knowl. Discov. Charu C. Aggarwal, Philip S. Yu
2008	—	`ch.`	An Introduction to Privacy-Preserving Data Mining. Privacy-Preserving Data Mining Charu C. Aggarwal, Philip S. Yu
2008	A*	`conf`	LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams. ICDE Charu C. Aggarwal, Philip S. Yu
2008	A*	`conf`	On High Dimensional Indexing of Uncertain Data. ICDE Charu C. Aggarwal, Philip S. Yu
2008	A	`conf`	On Indexing High Demensional Data with Uncertainty. SDM Charu C. Aggarwal, Philip S. Yu
2008	A*	`conf`	On Unifying Privacy and Uncertain Data Models. ICDE Charu C. Aggarwal
2008	J	`jnl`	On static and dynamic methods for condensation-based privacy-preserving data mining. ACM Trans. Database Syst. Charu C. Aggarwal, Philip S. Yu
2008	A	`conf`	Outlier Detection with Uncertain Data. SDM Charu C. Aggarwal, Philip S. Yu
2008	—	`ch.`	Privacy and the Dimensionality Curse. Privacy-Preserving Data Mining Charu C. Aggarwal
2008	—	`book`	Privacy-Preserving Data Mining - Models and Algorithms Charu C. Aggarwal, Philip S. Yu
2008	—	`ch.`	Privacy-Preserving Data Mining: A Survey. Handbook of Database Security Charu C. Aggarwal, Philip S. Yu
2007	—	`ch.`	A Survey of Change Diagnosis Algorithms in Evolving Data Streams. Data Streams - Models and Algorithms Charu C. Aggarwal
2007	—	`ch.`	A Survey of Synopsis Construction in Data Streams. Data Streams - Models and Algorithms Charu C. Aggarwal, Philip S. Yu
2007	A*	`conf`	A framework for classification and segmentation of massive audio data streams. KDD Charu C. Aggarwal
2007	—	`ch.`	An Introduction to Data Streams. Data Streams - Models and Algorithms Charu C. Aggarwal
2007	A*	`conf`	Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S. VLDB Kun-Lung Wu, Philip S. Yu, Bugra Gedik, Kirsten Hildrum, Charu C. Aggarwal, Eric Bouillet, Wei Fan, David George, Xiaohui Gu, Gang Luo, Haixun Wang
2007	—	`book`	Data Streams - Models and Algorithms Charu C. Aggarwal
2007	A	`conf`	Discriminating Subsequence Discovery for Sequence Clustering. SDM Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal
2007	A	`conf`	On Anonymization of String Data. SDM Charu C. Aggarwal, Philip S. Yu
2007	—	`ch.`	On Clustering Massive Data Streams: A Summarization Paradigm. Data Streams - Models and Algorithms Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu
2007	A*	`conf`	On Density Based Transforms for Uncertain Data Mining. ICDE Charu C. Aggarwal
2007	A	`conf`	On Point Sampling Versus Space Sampling for Dimensionality Reduction. SDM Charu C. Aggarwal
2007	A	`conf`	On Privacy-Preservation of Text and Sparse Binary Data with Sketches. SDM Charu C. Aggarwal, Philip S. Yu
2007	A*	`conf`	On Randomization, Public Information and the Curse of Dimensionality. ICDE Charu C. Aggarwal
2007	A*	`conf`	On string classification in data streams. KDD Charu C. Aggarwal, Philip S. Yu
2007	J	`jnl`	Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal
2007	A*	`conf`	Xproj: a framework for projected structural clustering of xml documents. KDD Charu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua Feng, Mohammed Javeed Zaki
2006	A	`conf`	A Framework for Clustering Massive Text and Categorical Data Streams. SDM Charu C. Aggarwal, Philip S. Yu
2006	A	`conf`	A Framework for Local Supervised Dimensionality Reduction of High Dimensional Data. SDM Charu C. Aggarwal
2006	J	`jnl`	A Framework for On-Demand Classification of Evolving Data Streams. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu
2006	A*	`conf`	On Biased Reservoir Sampling in the Presence of Stream Evolution. VLDB Charu C. Aggarwal
2006	B	`conf`	On Futuristic Query Processing in Data Streams. EDBT Charu C. Aggarwal
2006	—	`conf`	On Temporal Evolution in Data Streams. PKDD Charu C. Aggarwal
2006	A*	`conf`	On privacy preservation against adversarial data mining. KDD Charu C. Aggarwal, Jian Pei, Bo Zhang
2006	A*	`conf`	On the Inverse Classification Problem and its Applications. ICDE Charu C. Aggarwal, Chen Chen, Jiawei Han
2006	J	`jnl`	On the use of Human-Computer Interaction for Projected Nearest Neighbor Search. Data Min. Knowl. Discov. Charu C. Aggarwal
2006	A	`conf`	Representation is Everything: Towards Efficient and Adaptable Similarity Measures for Biological Data. SDM Charu C. Aggarwal
2006	J	`jnl`	XRules: An effective algorithm for structural classification of XML data. Mach. Learn. Mohammed Javeed Zaki, Charu C. Aggarwal
2005	J	`jnl`	An effective and efficient algorithm for high-dimensional outlier detection. VLDB J. Charu C. Aggarwal, Philip S. Yu
2005	A	`conf`	CSR: Speaker Recognition from Compressed VoIP Packet Stream. ICME Charu C. Aggarwal, David P. Olshefski, Debanjan Saha, Zon-Yin Shae, Philip S. Yu
2005	A	`conf`	On Abnormality Detection in Spuriously Populated Data Streams. SDM Charu C. Aggarwal
2005	J	`jnl`	On Change Diagnosis in Evolving Data Streams. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal
2005	—	`conf`	On Clustering Techniques for Change Diagnosis in Data Streams. WebKDD Charu C. Aggarwal, Philip S. Yu
2005	J	`jnl`	On High Dimensional Projected Clustering of Data Streams. Data Min. Knowl. Discov. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu
2005	A	`conf`	On Variable Constraints in Privacy Preserving Data Mining. SDM Charu C. Aggarwal, Philip S. Yu
2005	A*	`conf`	On k-Anonymity and the Curse of Dimensionality. VLDB Charu C. Aggarwal
2005	J	`jnl`	On the Use of Wavelet Decomposition for String Classification. Data Min. Knowl. Discov. Charu C. Aggarwal, Paul S. Bradley
2005	A	`conf`	Online Analysis of Community Evolution in Data Streams. SDM Charu C. Aggarwal, Philip S. Yu
2005	A*	`conf`	Towards exploratory test instance specific algorithms for high dimensional classification. KDD Charu C. Aggarwal
2004	B	`conf`	A Condensation Approach to Privacy Preserving Data Mining. EDBT Charu C. Aggarwal, Philip S. Yu
2004	A*	`conf`	A Framework for Projected Clustering of High Dimensional Data Streams. VLDB Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu
2004	J	`jnl`	A Human-Computer Interactive Method for Projected Clustering. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal
2004	J	`jnl`	An Efficient Subspace Sampling Framework for High-Dimensional Data Reduction, Selectivity Estimation, and Nearest-Neighbor Search. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal
2004	J	`jnl`	On Leveraging User Access Patterns for Topic Specific Crawling. Data Min. Knowl. Discov. Charu C. Aggarwal
2004	J	`jnl`	On Using Partial Supervision for Text Categorization. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu
2004	A*	`conf`	On demand classification of data streams. KDD Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu
2003	—	`conf`	A Framework for Change Diagnosis of Data Streams. SIGMOD Conference Charu C. Aggarwal
2003	A*	`conf`	A Framework for Clustering Evolving Data Streams. VLDB Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu
2003	A	`conf`	Epi-SPIRE: a system for environmental and public health activity monitoring. ICME Chung-Sheng Li, Charu C. Aggarwal, Murray Campbell, Yuan-Chi Chang, Gregory Glass, Vijay S. Iyengar, Mahesh Joshi, Ching-Yung Lin, Milind R. Naphade, John R. Smith, Belle L. Tseng, Min Wang, Kun-Lung Wu, Philip S. Yu
2003	A*	`conf`	On nearest neighbor indexing of nonlinear trajectories. PODS Charu C. Aggarwal, Dakshi Agrawal
2003	J	`jnl`	On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets. IEEE Trans. Knowl. Data Eng. Srinivasan Parthasarathy, Charu C. Aggarwal
2003	—	`ed.`	Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, DMKD 2003, San Diego, California, USA, June 13, 2003 DMKD Mohammed Javeed Zaki, Charu C. Aggarwal
2003	A*	`conf`	Towards systematic design of distance functions for data mining applications. KDD Charu C. Aggarwal
2003	A*	`conf`	XRules: an effective structural classifier for XML data. KDD Mohammed Javeed Zaki, Charu C. Aggarwal
2002	J	`jnl`	Adaptive Piggybacking Schemes for Video-On-Demand Systems. Multim. Tools Appl. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
2002	A*	`conf`	An Automated System for Web Portal Personalization. VLDB Charu C. Aggarwal, Philip S. Yu
2002	A*	`conf`	An Intuitive Framework for Understanding Changes in Evolving Data Streams. ICDE Charu C. Aggarwal
2002	A*	`conf`	Collaborative crawling: mining user experiences for topical resource discovery. KDD Charu C. Aggarwal
2002	J	`jnl`	Fast Algorithms for Online Generation of Profile Association Rules. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Zheng Sun, Philip S. Yu
2002	J	`jnl`	Finding Localized Associations in Market Basket Data. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Philip S. Yu
2002	—	`conf`	Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neighbor search. SIGMOD Conference Charu C. Aggarwal
2002	A*	`conf`	On effective classification of strings with wavelets. KDD Charu C. Aggarwal
2002	J	`jnl`	On multiroute maximum flows in networks. Networks Charu C. Aggarwal, James B. Orlin
2002	J	`jnl`	Redefining Clustering for High-Dimensional Applications. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Philip S. Yu
2002	J	`jnl`	Towards Effective and Interpretable Data Mining by Visual Interaction. SIGKDD Explor. Charu C. Aggarwal
2002	A*	`conf`	Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction. ICDE Charu C. Aggarwal
2001	J	`jnl`	A New Approach to Online Generation of Association Rules. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Philip S. Yu
2001	J	`jnl`	A Tree Projection Algorithm for Generation of Frequent Item Sets. J. Parallel Distributed Comput. Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad
2001	A*	`conf`	A human-computer cooperative system for effective high dimensional clustering. KDD Charu C. Aggarwal
2001	A	`conf`	Effective Nearest Neighbor Indexing with the Euclidean Metric. CIKM Sang-Wook Kim, Charu C. Aggarwal, Philip S. Yu
2001	A*	`conf`	Intelligent crawling on the World Wide Web with arbitrary predicates. WWW Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu
2001	J	`jnl`	Mining Associations with the Collective Strength Approach. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Philip S. Yu
2001	A*	`conf`	Mining massively incomplete data sets by conceptual reconstruction. KDD Charu C. Aggarwal, Srinivasan Parthasarathy
2001	A*	`conf`	On Effective Conceptual Indexing and Similarity Search in Text Data. ICDM Charu C. Aggarwal, Philip S. Yu
2001	A*	`conf`	On the Design and Quantification of Privacy Preserving Data Mining Algorithms. PODS Dakshi Agrawal, Charu C. Aggarwal
2001	A*	`conf`	On the Effects of Dimensionality Reduction on High Dimensional Similarity Search. PODS Charu C. Aggarwal
2001	A	`conf`	On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim
2001	J	`jnl`	On the design of a learning crawler for topical resource discovery. ACM Trans. Inf. Syst. Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu
2001	—	`conf`	Outlier Detection for High Dimensional Data. SIGMOD Conference Charu C. Aggarwal, Philip S. Yu
2001	—	`conf`	Personalization with Dynamic Profiler. WECWIS Kun-Lung Wu, Charu C. Aggarwal, Philip S. Yu
2001	J	`jnl`	Re-designing Distance Functions and Distance-Based Applications for High Dimensional Data. SIGMOD Rec. Charu C. Aggarwal
2001	J	`jnl`	The Maximum Factor Queue Length Batching Scheme for Video-on-Demand Systems. IEEE Trans. Computers Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
2001	J	`jnl`	Towards Long Pattern Generation in Dense Databases. SIGKDD Explor. Charu C. Aggarwal
2000	J	`jnl`	Data Mining Techniques for Personalization. IEEE Data Eng. Bull. Charu C. Aggarwal, Philip S. Yu
2000	A*	`conf`	Depth first generation of long patterns. KDD Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad
2000	—	`conf`	Finding Generalized Projected Clusters In High Dimensional Spaces. SIGMOD Conference Charu C. Aggarwal, Philip S. Yu
2000	J	`jnl`	Reminiscences on Influential Papers. SIGMOD Rec. Kenneth A. Ross, Charu C. Aggarwal, Alfons Kemper, Sunita Sarawagi, S. Sudarshan, Mihalis Yannakakis
2000	A*	`conf`	The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space. KDD Charu C. Aggarwal, Philip S. Yu
2000	—	`conf`	The Intelligent Recommendation Analyzer. ICDCS Workshop of Knowledge Discovery and Data Mining in the World-Wide Web Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu
2000	A*	`conf`	What Is the Nearest Neighbor in High Dimensional Spaces? VLDB Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim
1999	—	`conf`	A New Method for Similarity Indexing of Market Basket Data. SIGMOD Conference Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1999	J	`jnl`	Caching on the World Wide Web. IEEE Trans. Knowl. Data Eng. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1999	B	`conf`	Data Mining Techniques for Associations, Clustering and Classification. PAKDD Charu C. Aggarwal, Philip S. Yu
1999	J	`jnl`	Design and Analysis of Permutation-Based Pyramid Broadcasting. Multim. Syst. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1999	—	`conf`	Fast Algorithms for Projected Clustering. SIGMOD Conference Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Joel L. Wolf, Philip S. Yu, Jong Soo Park
1999	A*	`conf`	Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering. KDD Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu
1999	—	`conf`	On Text Mining Techniques for Personalization. RSFDGrC Charu C. Aggarwal, Philip S. Yu
1999	A*	`conf`	On the Merits of Building Categorization Systems by Supervised Clustering. KDD Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu
1999	—	`conf`	Optimizing Profits in the Broadcast Delivery of Multimedia Products. Multimedia Information Systems Charu C. Aggarwal, Mark S. Squillante, Joel L. Wolf, Philip S. Yu, Jay Sethuraman
1999	J	`jnl`	Using Unbalanced Trees for Indexing Multidimensional Objects. Knowl. Inf. Syst. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu, Marina A. Epelman
1998	—	`conf`	A Framework for the Optimizing of WWW Advertising. Trends in Distributed Systems for Electronic Commerce Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1998	A*	`conf`	A New Framework For Itemset Generation. PODS Charu C. Aggarwal, Philip S. Yu
1998	J	`jnl`	Diagnosing infeasibilities in network flow problems. Math. Program. Charu C. Aggarwal, Ravindra K. Ahuja, Jianxiu Hao, James B. Orlin
1998	J	`jnl`	Mining Large Itemsets for Association Rules. IEEE Data Eng. Bull. Charu C. Aggarwal, Philip S. Yu
1998	A	`conf`	Online Algorithms for Finding Profile Association Rules. CIKM Charu C. Aggarwal, Zheng Sun, Philip S. Yu
1998	A*	`conf`	Online Generation of Association Rules. ICDE Charu C. Aggarwal, Philip S. Yu
1998	A*	`conf`	Online Generation of Profile Association Rules. KDD Charu C. Aggarwal, Zheng Sun, Philip S. Yu
1998	J	`jnl`	Optimization issues in multimedia systems. Int. J. Intell. Syst. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1997	A	`conf`	On Disk Caching of Web Objects in Proxy Servers. CIKM Charu C. Aggarwal, Philip S. Yu
1997	J	`jnl`	Optimized Crossover for the Independent Set Problem. Oper. Res. Charu C. Aggarwal, James B. Orlin, Ray P. Tai
1997	—	`conf`	The S-Tree: An Efficient Index for Multidimensional Objects. SSD Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu, Marina A. Epelman
1996	—	`conf`	A Permutation-Based Pyramid Broadcasting Scheme for Video-on-Demand Systems. ICMCS Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1996	—	`conf`	On Optimal Batching Policies for Video-on-Demand Storage Servers. ICMCS Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1996	A*	`conf`	On Optimal Piggyback Merging Policies for Video-on-Demand Systems. SIGMETRICS Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
1995	J	`jnl`	An Efficient Selection Algorithm on the Pyramid. Inf. Process. Lett. Charu C. Aggarwal, N. Jain, P. Gupta