Pang-Ning Tan - RankMe

153 papers A* 42A 23B 20C 2Misc 2Journal 26Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adversarial Attacks on Downstream Weather Forecasting Models: Application to Tropical Cyclone Trajectory Prediction. CoRR Yue Deng, Francisco Santos, Pang-Ning Tan, Lifeng Luo
2025	J	`jnl`	FABLE: A Localized, Targeted Adversarial Attack on Weather Forecasting Models. CoRR Yue Deng, Asadullah Hill Galib, Xin Lan, Pang-Ning Tan, Lifeng Luo
2025	—	`conf`	Mitigating Bias for Unseen Demographic Groups in Graph Neural Networks. ASONAM (2) Francisco Santos, Pang-Ning Tan, Abdol-Hossein Esfahanian
2024	—	`conf`	Conversational Agents as an Aid for Cancer Survivors' Information Search. HICSS Barikisu Issaka, Young Anna Argyris, Pang-Ning Tan
2024	—	`conf`	DeepFairRank: A Multi-objective Framework for Fair Top-k Node Ranking in Network Data. ASONAM (1) Francisco Santos, Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian
2024	A*	`conf`	FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation. NeurIPS Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
2024	—	`conf`	FOCI: Fair Cross-Network Node Classification via Optimal Transport. ASONAM (2) Anna Stephens, Francisco Santos, Pang-Ning Tan, Abdol-Hossein Esfahanian
2024	J	`jnl`	Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups. CoRR Anna Stephens, Francisco Santos, Pang-Ning Tan, Abdol-Hossein Esfahanian
2024	A*	`conf`	Unraveling Block Maxima Forecasting Models with Counterfactual Explanation. KDD Yue Deng, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
2024	J	`jnl`	Yield estimation from SAR data using patch-based deep learning and machine learning techniques. Comput. Electron. Agric. Mahya G. Z. Hashemi, Pang-Ning Tan, Ehsan Jalilvand, Brook Wilke, Hamed Alemohammad, Narendra N. Das
2023	—	`conf`	Influence Propagation for Linear Threshold Model with Graph Neural Networks. ICDM (Workshops) Francisco Santos, Anna Stephens, Pang-Ning Tan, Abdol-Hossein Esfahanian
2023	—	`conf`	Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups. ICDM (Workshops) Anna Stephens, Francisco Santos, Pang-Ning Tan, Abdol-Hossein Esfahanian
2023	A*	`conf`	Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning. IJCAI Asadullah Hill Galib, Andrew McDonald, Pang-Ning Tan, Lifeng Luo
2023	A*	`conf`	SimEXT: Self-supervised Representation Learning for Extreme Values in Time Series. ICDM Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
2022	A*	`conf`	Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models. KDD Tyler Wilson, Andrew McDonald, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
2022	A*	`conf`	COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. IJCAI Andrew McDonald, Pang-Ning Tan, Lifeng Luo
2022	J	`jnl`	COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. CoRR Andrew McDonald, Pang-Ning Tan, Lifeng Luo
2022	A*	`conf`	DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data. IJCAI Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan
2022	J	`jnl`	DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data. CoRR Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan
2022	A*	`conf`	DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events. AAAI Tyler Wilson, Pang-Ning Tan, Lifeng Luo
2022	B	`conf`	FACS-GCN: Fairness-Aware Cost-Sensitive Boosting of Graph Convolutional Networks. IJCNN Francisco Santos, Junke Ye, Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian
2022	A*	`conf`	Fairness-Aware Graph Sampling for Network Analysis. ICDM Farzan Masrour, Francisco Santos, Pang-Ning Tan, Abdol-Hossein Esfahanian
2022	A*	`conf`	Unsupervised Anomaly Detection by Robust Density Estimation. AAAI Boyang Liu, Pang-Ning Tan, Jiayu Zhou
2022	—	`conf`	Using Deep Learning to Identify Linguistic Features that Facilitate or Inhibit the Propagation of Anti- and Pro-Vaccine Content on Social Media. ICDH Young Anna Argyris, Nan Zhang, Bidhan Bashyal, Pang-Ning Tan
2021	J	`jnl`	Automated Analysis of the US Drought Monitor Maps With Machine Learning and Multiple Drought Indicators. Frontiers Big Data Pouyan Hatami Bahman Beiglou, Lifeng Luo, Pang-Ning Tan, Lisi Pei
2021	A*	`conf`	JOHAN: A Joint Online Hurricane Trajectory and Intensity Forecasting Framework. KDD Ding Wang, Pang-Ning Tan
2021	A*	`conf`	Learning Deep Neural Networks under Agnostic Corrupted Supervision. ICML Boyang Liu, Mengying Sun, Ding Wang, Pang-Ning Tan, Jiayu Zhou
2021	J	`jnl`	Learning Deep Neural Networks under Agnostic Corrupted Supervision. CoRR Boyang Liu, Mengying Sun, Ding Wang, Pang-Ning Tan, Jiayu Zhou
2021	A*	`conf`	RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection. IJCAI Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou
2021	J	`jnl`	Spatio-Temporal Multi-Task Learning via Tensor Decomposition. IEEE Trans. Knowl. Data Eng. Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo
2020	A*	`conf`	Bursting the Filter Bubble: Fairness-Aware Network Link Prediction. AAAI Farzan Masrour, Tyler Wilson, Heng Yan, Pang-Ning Tan, Abdol-Hossein Esfahanian
2020	A	`conf`	Convolutional Methods for Predictive Modeling of Geospatial Data. SDM Tyler Wilson, Pang-Ning Tan, Lifeng Luo
2020	A*	`conf`	Fairness Perception from a Network-Centric Perspective. ICDM Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian
2020	J	`jnl`	Fairness Perception from a Network-Centric Perspective. CoRR Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian
2020	A*	`conf`	OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting. AAAI Ding Wang, Boyang Liu, Pang-Ning Tan, Lifeng Luo
2019	A	`conf`	Augmented Multi-Task Learning by Optimal Transport. SDM Boyang Liu, Pang-Ning Tan, Jiayu Zhou
2019	A	`conf`	Deep Multi-view Information Bottleneck. SDM Qi Wang, Claire Boudreau, Qixing Luo, Pang-Ning Tan, Jiayu Zhou
2019	B	`conf`	Hierarchical LSTM Framework for Long-Term Sea Surface Temperature Forecasting. DSAA Xi Liu, Tyler Wilson, Pang-Ning Tan, Lifeng Luo
2019	—	`book`	Introduction to Data Mining (Second Edition) Pang-Ning Tan, Michael S. Steinbach, Anuj Karpatne, Vipin Kumar
2019	B	`conf`	OPTANE: an OPtimal transport algorithm for NEtwork alignment. ASONAM Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian
2019	J	`jnl`	Spatially Constrained Spectral Clustering Algorithms for Region Delineation. CoRR Shuai Yuan, Pang-Ning Tan, Kendra Spence Cheruvelil, Sarah M. Collins, Patricia A. Soranno
2019	B	`conf`	You have been CAUTE!: early detection of compromised accounts on social media. ASONAM Courtland VanDam, Farzan Masrour, Pang-Ning Tan, Tyler Wilson
2018	A*	`conf`	A Low Rank Weighted Graph Convolutional Approach to Weather Prediction. ICDM Tyler Wilson, Pang-Ning Tan, Lifeng Luo
2018	B	`conf`	Attributed Network Representation Learning Approaches for Link Prediction. ASONAM Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian, Courtland VanDam
2018	B	`conf`	CADET: A Multi-View Learning Framework for Compromised Account Detection on Twitter. ASONAM Courtland VanDam, Pang-Ning Tan, Jiliang Tang, Hamid Karimi
2018	J	`jnl`	Diffusion size and structural virality: The effects of message and network features on spreading health information on twitter. Comput. Hum. Behav. Jingbo Meng, Wei Peng, Pang-Ning Tan, Wuyu Liu, Ying Cheng, Arram Bae
2018	A*	`conf`	Distribution Preserving Multi-task Regression for Spatio-Temporal Data. ICDM Xi Liu, Pang-Ning Tan, Zubin Abraham, Lifeng Luo, Pouyan Hatami
2018	A*	`conf`	Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation. KDD Boyang Liu, Pang-Ning Tan, Jiayu Zhou
2018	A*	`conf`	Imputing Structured Missing Values in Spatial Data with Clustered Adversarial Matrix Factorization. ICDM Qi Wang, Pang-Ning Tan, Jiayu Zhou
2018	A*	`conf`	MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling. IJCAI Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo
2018	—	`ch.`	Neural Networks. Encyclopedia of Database Systems (2nd ed.) Pang-Ning Tan
2018	—	`ch.`	Receiver Operating Characteristic. Encyclopedia of Database Systems (2nd ed.) Pang-Ning Tan
2018	—	`conf`	STARS: Soft Multi-Task Learning for Activity Recognition from Multi-Modal Sensor Data. PAKDD (2) Xi Liu, Pang-Ning Tan, Lei Liu
2017	B	`conf`	Automated classification of EEG signals for predicting students' cognitive state during learning. WI Xi Liu, Pang-Ning Tan, Lei Liu, Steven J. Simske
2017	A	`conf`	Hash-Based Feature Learning for Incomplete Continuous-Valued Data. SDM Shuai Yuan, Pang-Ning Tan, Kendra Spence Cheruvelil, C. Emi Fergus, Nicholas K. Skaff, Patricia A. Soranno
2017	A*	`conf`	Multi-level Multi-task Learning for Modeling Cross-Scale Interactions in Nested Geospatial Data. ICDM Shuai Yuan, Jiayu Zhou, Pang-Ning Tan, C. Emi Fergus, Tyler Wagner, Patricia A. Soranno
2017	J	`jnl`	Online Multi-Task Learning Framework for Ensemble Forecasting. IEEE Trans. Knowl. Data Eng. Jianpeng Xu, Pang-Ning Tan, Jiayu Zhou, Lifeng Luo
2017	B	`conf`	Understanding compromised accounts on Twitter. WI Courtland VanDam, Jiliang Tang, Pang-Ning Tan
2016	B	`conf`	Crowdsourcing of network data. IJCNN Ding Wang, Prakash Mandayam Comar, Pang-Ning Tan
2016	—	`conf`	Detecting hashtag hijacking from Twitter. WebSci Courtland VanDam, Pang-Ning Tan
2016	A	`conf`	GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction. SDM Jianpeng Xu, Pang-Ning Tan, Lifeng Luo, Jiayu Zhou
2016	A*	`conf`	Macro-scale mobile app market analysis using customized hierarchical categorization. INFOCOM Xi Liu, Han Hee Song, Mario Baldi, Pang-Ning Tan
2016	A	`conf`	Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine. SDM Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou
2016	—	`conf`	WISDOM: Weighted incremental spatio-temporal multi-task learning via tensor decomposition. IEEE BigData Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo
2015	B	`conf`	Constrained spectral clustering for regionalization: Exploring the trade-off between spatial contiguity and landscape homogeneity. DSAA Shuai Yuan, Pang-Ning Tan, Kendra Spence Cheruvelil, Sarah M. Collins, Patricia A. Soranno
2015	A	`conf`	FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models. SDM Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan
2015	A	`conf`	MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning. CIKM Lei Liu, Pang-Ning Tan, Xi Liu
2014	J	`jnl`	Contour regression: A distribution-regularized regression framework for climate modeling. Stat. Anal. Data Min. Zubin Abraham, Pang-Ning Tan, Perdinan, Julie A. Winkler, Shiyuan Zhong, Malgorzata Liszewska
2014	B	`conf`	Detecting malicious clients in ISP networks using HTTP connectivity graph and flow information. ASONAM Lei Liu, Sabyasachi Saha, Ruben Torres, Jianpeng Xu, Pang-Ning Tan, Antonio Nucci, Marco Mellia
2014	A*	`conf`	ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting. ICDM Jianpeng Xu, Pang-Ning Tan, Lifeng Luo
2014	A	`ed.`	Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014 SDM Mohammed Javeed Zaki, Zoran Obradovic, Pang-Ning Tan, Arindam Banerjee, Chandrika Kamath, Srinivasan Parthasarathy
2013	—	`ch.`	Clustering Social Networks Using Distance-Preserving Subgraphs. The Influence of Technology on Social Network Analysis and Mining Ronald Nussbaum, Abdol-Hossein Esfahanian, Pang-Ning Tan
2013	A*	`conf`	Combining supervised and unsupervised learning for zero-day malware detection. INFOCOM Prakash Mandayam Comar, Lei Liu, Sabyasachi Saha, Pang-Ning Tan, Antonio Nucci
2013	A	`conf`	Distribution Regularized Regression Framework for Climate Modeling. SDM Zubin Abraham, Malgorzata Liszewska, Perdinan, Pang-Ning Tan, Julie Winkler, Shiyuan Zhong
2013	A	`conf`	Missing or Inapplicable: Treatment of Incomplete Continuous-valued Features in Supervised Learning. SDM Lei Liu, Prakash Mandayam Comar, Antonio Nucci, Sabyasachi Saha, Pang-Ning Tan
2013	—	`conf`	Position Preserving Multi-Output Prediction. ECML/PKDD (2) Zubin Abraham, Pang-Ning Tan, Perdinan, Julie Winkler, Shiyuan Zhong, Malgorzata Liszewska
2012	J	`jnl`	A framework for joint community detection across multiple related networks. Neurocomputing Prakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain
2012	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29 - June 1, 2012, Proceedings, Part II PAKDD (2) Pang-Ning Tan, Sanjay Chawla, Chin Kuan Ho, James Bailey
2012	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part I PAKDD (1) Pang-Ning Tan, Sanjay Chawla, Chin Kuan Ho, James Bailey
2012	B	`conf`	Recursive NMF: Efficient label tree learning for large multi-class problems. ICPR Lei Liu, Prakash Mandayam Comar, Sabyasachi Saha, Pang-Ning Tan, Antonio Nucci
2012	J	`jnl`	Simultaneous classification and community detection on heterogeneous network data. Data Min. Knowl. Discov. Prakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain
2012	A	`conf`	Weighted linear kernel with tree transformed features for malware detection. CIKM Prakash Mandayam Comar, Lei Liu, Sabyasachi Saha, Antonio Nucci, Pang-Ning Tan
2011	A*	`conf`	Detecting bots via incremental LS-SVM learning with dynamic feature adaptation. KDD Feilong Chen, Supranamaya Ranjan, Pang-Ning Tan
2011	—	`ch.`	Link-Based Network Mining. Structural Analysis of Complex Networks Jerry Scripps, Ronald Nussbaum, Pang-Ning Tan, Abdol-Hossein Esfahanian
2011	A*	`conf`	LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction. ICDM Prakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain
2011	J	`jnl`	On ontology-driven document clustering using core semantic features. Knowl. Inf. Syst. Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
2011	—	`conf`	Smoothed Quantile Regression for Statistical Downscaling of Extreme Events in Climate Modeling. CIDU Zubin Abraham, Pang-Ning Tan, Fan Xin
2010	—	`conf`	A Framework for Co-classification of Articles and Users in Wikipedia. Web Intelligence Lei Liu, Pang-Ning Tan
2010	A	`conf`	An Integrated Framework for Simultaneous Classification and Regression of Time-Series Data. SDM Zubin Abraham, Pang-Ning Tan
2010	B	`conf`	Clustering Social Networks Using Distance-Preserving Subgraphs. ASONAM Ronald Nussbaum, Abdol-Hossein Esfahanian, Pang-Ning Tan
2010	J	`jnl`	Constrained overlapping clusters: minimizing the negative effects of bridge-nodes. Stat. Anal. Data Min. Jerry Scripps, Pang-Ning Tan
2010	J	`jnl`	Efficient Algorithm for Localized Support Vector Machine. IEEE Trans. Knowl. Data Eng. Haibin Cheng, Pang-Ning Tan, Rong Jin
2010	—	`conf`	Identifying Cohesive Subgroups and Their Correspondences in Multiple Related Networks. Web Intelligence Prakash Mandayam Comar, Pang-Ning Tan, Anil Kumar Jain
2010	A	`conf`	Multi task learning on multiple related networks. CIKM Prakash Mandayam Comar, Pang-Ning Tan, Anil Kumar Jain
2009	B	`conf`	A Matrix Alignment Approach for Collective Classification. ASONAM Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-Hossein Esfahanian
2009	—	`conf`	A Semi-supervised Framework for Simultaneous Classification and Regression of Zero-Inflated Time Series Data with Application to Precipitation Prediction. ICDM Workshops Zubin Abraham, Pang-Ning Tan
2009	A	`conf`	A co-classification framework for detecting web spam and spammers in social media web sites. CIKM Feilong Chen, Pang-Ning Tan, Anil K. Jain
2009	Misc	`conf`	Combining statistics and semantics via ensemble model for document clustering. SAC Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
2009	A	`conf`	Detection and Characterization of Anomalies in Multivariate Time Series. SDM Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster
2009	B	`conf`	History-Based Email Prioritization. ASONAM Ronald Nussbaum, Abdol-Hossein Esfahanian, Pang-Ning Tan
2009	A*	`conf`	Measuring the effects of preprocessing decisions and network forces in dynamic network analysis. KDD Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian
2009	—	`ch.`	Neural Networks. Encyclopedia of Database Systems Pang-Ning Tan
2009	—	`ch.`	Pattern Preserving Clustering. Encyclopedia of Data Warehousing and Mining Hui Xiong, Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar, Wenjun Zhou
2009	—	`ch.`	Receiver Operating Characteristic. Encyclopedia of Database Systems Pang-Ning Tan
2008	—	`conf`	A Robust Graph-Based Algorithm for Detection and Characterization of Anomalies in Noisy Multivariate Time Series. ICDM Workshops Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster
2008	B	`conf`	A matrix alignment approach for link prediction. ICPR Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-Hossein Esfahanian
2008	—	`conf`	Data mining for visual exploration and detection of ecosystem disturbances. GIS Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster
2008	—	`ch.`	Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining. Next Generation of Data Mining Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Pang-Ning Tan, Christopher Potter, Steven A. Klooster
2008	—	`conf`	Link Mining for a Social Bookmarking Web Site. Web Intelligence Feilong Chen, Jerry Scripps, Pang-Ning Tan
2008	A*	`conf`	Maximum Margin Active Learning for Sequence Labeling with Different Length. ICDM Haibin Cheng, Ruofei Zhang, Yefei Peng, Jianchang Mao, Pang-Ning Tan
2008	J	`jnl`	Outrank: a Graph-Based Outlier Detection Framework Using Random Walk. Int. J. Artif. Intell. Tools H. D. K. Moonesinghe, Pang-Ning Tan
2008	A*	`conf`	Semi-supervised learning with data calibration for long-term time series forecasting. KDD Haibin Cheng, Pang-Ning Tan
2007	—	`conf`	A Probabilistic Substructure-Based Approach for Graph Classification. ICTAI (1) H. D. K. Moonesinghe, Hamed Valizadegan, Samah Jamal Fodeh, Pang-Ning Tan
2007	C	`conf`	A Prototype-driven Framework for Change Detection in Data Stream Classification. CIDM Hamed Valizadegan, Pang-Ning Tan
2007	A*	`conf`	Exploration of Link Structure and Community-Based Node Roles in Network Analysis. ICDM Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian
2007	—	`conf`	Incorporating Background Knowledge for Subjective Rule Evaluation. ICTAI (2) Samah Jamal Fodeh, Pang-Ning Tan
2007	A	`conf`	Kernel Based Detection of Mislabeled Training Examples. SDM Hamed Valizadegan, Pang-Ning Tan
2007	A	`conf`	Localized Support Vector Machine and Its Efficient Algorithm. SDM Haibin Cheng, Pang-Ning Tan, Rong Jin
2007	A*	`conf`	Recommendation via Query Centered Random Walk on K-Partite Graph. ICDM Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William F. Punch
2006	A	`conf`	A Novel Framework for Incorporating Labeled Examples into Anomaly Detection. SDM Jing Gao, Haibin Cheng, Pang-Ning Tan
2006	B	`conf`	Adaptively Routing P2P Queries Using Association Analysis. ICPP Brian D. Connelly, Christopher W. Bowron, Li Xiao, Pang-Ning Tan, Chen Wang
2006	A	`conf`	Clustering in the Presence of Bridge-Nodes. SDM Jerry Scripps, Pang-Ning Tan
2006	A*	`conf`	Converting Output Scores from Outlier Detection Algorithms into Probability Estimates. ICDM Jing Gao, Pang-Ning Tan
2006	A*	`conf`	Frequent Closed Itemset Mining Using Prefix Graphs with an Efficient Flow-Based Pruning Strategy. ICDM H. D. K. Moonesinghe, Samah Jamal Fodeh, Pang-Ning Tan
2006	J	`jnl`	Hyperclique pattern discovery. Data Min. Knowl. Discov. Hui Xiong, Pang-Ning Tan, Vipin Kumar
2006	J	`jnl`	Local Detection of Selfish Routing Behavior in Ad Hoc Networks. J. Interconnect. Networks Bo Wang, Sohraab Soltani, Jonathan K. Shapiro, Pang-Ning Tan
2006	B	`conf`	Multistep-Ahead Time Series Prediction. PAKDD Haibin Cheng, Pang-Ning Tan, Jing Gao, Jerry Scripps
2006	B	`conf`	Outlier Detection Using Random Walks. ICTAI H. D. K. Moonesinghe, Pang-Ning Tan
2006	A	`conf`	Semi-Supervised Clustering with Partial Background Information. SDM Jing Gao, Pang-Ning Tan, Haibin Cheng
2006	Misc	`conf`	Semi-supervised outlier detection. SAC Jing Gao, Haibin Cheng, Pang-Ning Tan
2006	J	`jnl`	TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases. IEEE Trans. Knowl. Data Eng. Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar
2005	B	`conf`	An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection. PAKDD Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning Tan
2005	—	`book`	Introduction to Data Mining Pang-Ning Tan, Michael S. Steinbach, Vipin Kumar
2005	—	`conf`	Local Detection of Selfish Routing Behavior in Ad Hoc Networks. ISPAN Bo Wang, Sohraab Soltani, Jonathan K. Shapiro, Pang-Ning Tan
2004	—	`ch.`	Data Mining. Handbook of Data Structures and Applications Vipin Kumar, Pang-Ning Tan, Michael S. Steinbach
2004	A*	`conf`	Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs. KDD Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar
2004	A*	`conf`	Generalizing the notion of support. KDD Michael S. Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar
2004	A	`conf`	HICAP: Hierarchical Clustering with Pattern Preservation. SDM Hui Xiong, Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar
2004	C	`conf`	Mining interesting contrast rules for a web-based educational system. ICMLA Behrouz Minaei-Bidgoli, Pang-Ning Tan, William F. Punch
2004	A*	`conf`	Ordering patterns by combining opinions from multiple sources. KDD Pang-Ning Tan, Rong Jin
2004	A	`conf`	RBA: An Integrated Framework for Regression based on Association Rules. SDM Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
2004	J	`jnl`	Selecting the right objective measure for association analysis. Inf. Syst. Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
2004	A*	`conf`	Support envelopes: a technique for exploring the structure of association patterns. KDD Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar
2003	A*	`conf`	Discovery of climate indices using clustering. KDD Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar, Steven A. Klooster, Christopher Potter
2003	A*	`conf`	Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution. ICDM Hui Xiong, Pang-Ning Tan, Vipin Kumar
2002	J	`jnl`	Discovery of Web Robot Sessions Based on their Navigational Patterns. Data Min. Knowl. Discov. Pang-Ning Tan, Vipin Kumar
2002	—	`conf`	High Performance Data Mining. VECPAR Vipin Kumar, Mahesh V. Joshi, Eui-Hong Han, Pang-Ning Tan, Michael S. Steinbach
2002	A*	`conf`	Selecting the right interestingness measure for association patterns. KDD Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
2001	—	`conf`	Mining Indirect Associations in Web Data. WebKDD Pang-Ning Tan, Vipin Kumar
2000	—	`conf`	Indirect Association: Mining Higher Order Dependencies in Data. PKDD Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
2000	A*	`conf`	Textual data mining of service center call records. KDD Pang-Ning Tan, Hannah Blau, Steven A. Harp, Robert P. Goldman
2000	J	`jnl`	Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data. SIGKDD Explor. Jaideep Srivastava, Robert Cooley, Mukund Deshpande, Pang-Ning Tan
1999	—	`conf`	Discovery of Interesting Usage Patterns from Web Data. WebKDD Robert Cooley, Pang-Ning Tan, Jaideep Srivastava