| 2017 | A Deflation Method for Structured Probabilistic PCA. Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo |
| 2017 | A Dual-Tree Algorithm for Fast Ryan R. Curtin |
| 2017 | A Fast Trust-Region Newton Method for Softmax Logistic Regression. Nayyar Abbas Zaidi, Geoffrey I. Webb |
| 2017 | A Graduated Non-Convexity Relaxation for Large Scale Seriation. Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas |
| 2017 | A Method to Accelerate Human in the Loop Clustering. Anni Coden, Marina Danilevsky, Daniel Gruhl, Linda Kato, Meena Nagarajan |
| 2017 | A Sparse Nonlinear Classifier Design Using AUC Optimization. Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg |
| 2017 | ALPINE: Progressive Itemset Mining with Definite Guarantees. Qiong Hu, Tomasz Imielinski |
| 2017 | Absenteeism Detection in Social Media. Fang Jin, Feng Chen, Rupinder Paul Khandpur, Chang-Tien Lu, Naren Ramakrishnan |
| 2017 | Accelerated Attributed Network Embedding. Xiao Huang, Jundong Li, Xia Hu |
| 2017 | Active Learning of Classification Models with Likert-Scale Feedback. Yanbing Xue, Milos Hauskrecht |
| 2017 | Active Learning of Functional Networks from Spike Trains. Honglei Liu, Bian Wu |
| 2017 | Active Positive-Definite Matrix Completion. Charalampos Mavroforakis, Dóra Erdös, Mark Crovella, Evimaria Terzi |
| 2017 | An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease. Chao Che, Cao Xiao, Jian Liang, Bo Jin, Jiayu Zho, Fei Wang |
| 2017 | Automatic Frankensteining: Creating Complex Ensembles Autonomously. Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme |
| 2017 | Back Matter. |
| 2017 | Biclustering: An application of Dual Topic Models. Daniel Rugeles, Kaiqi Zhao, Gao Cong, Manoranjan Dash, Shonali Krishnaswamy |
| 2017 | BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos E. Papalexakis, Partha P. Talukdar, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Barnabás Póczos |
| 2017 | BreachRadar: Automatic Detection of Points-of-Compromise. Miguel Araujo, Miguel Almeida, Jaime Ferreira, Luís Moura Silva, Pedro Bizarro |
| 2017 | CSTG: An Effective Framework for Cost-sensitive Sparse Online Learning. Zhong Chen, Zhide Fang, Wei Fan, Andrea Edwards, Kun Zhang |
| 2017 | Clustering with Domain-Specific Usefulness Scores. Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy |
| 2017 | Collaborative User Network Embedding for Social Recommender Systems. Chuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang |
| 2017 | Community-aware network sparsification. Aristides Gionis, Polina Rozenshtein, Nikolaj Tatti, Evimaria Terzi |
| 2017 | Computational Drug Discovery with Dyadic Positive-Unlabeled Learning. Yashu Liu, Shuang Qiu, Ping Zhang, Pinghua Gong, Fei Wang, Guoliang Xue, Jieping Ye |
| 2017 | Concept Drift Detection with Hierarchical Hypothesis Testing. Shujian Yu, Zubin Abraham |
| 2017 | Condensing Temporal Networks using Propagation. Bijaya Adhikari, Yao Zhang, Aditya Bharadwaj, B. Aditya Prakash |
| 2017 | Correlation by Compression. Kailash Budhathoki, Jilles Vreeken |
| 2017 | Cumulative Knowledge-based Regression Models for Next-term Grade Prediction. Sara Morsy, George Karypis |
| 2017 | Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting. Rose Yu, Yaguang Li, Cyrus Shahabi, Ugur Demiryurek, Yan Liu |
| 2017 | Detecting Malicious Behavior in Computer Networks via Cost-Sensitive and Connectivity Constrained Classification. Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga |
| 2017 | Differentially Private Rank Aggregation. Michael Hay, Liudmila Elagina, Gerome Miklau |
| 2017 | Discovering bursts revisited: guaranteed optimization of the model parameters. Nikolaj Tatti |
| 2017 | Discovery of Causal Time Intervals. Zhenhui Li, Guanjie Zheng, Amal Agarwal, Lingzhou Xue, Thomas Lauvaux |
| 2017 | Efficiently Discovering Unexpected Pattern-Co-Occurrences. Roel Bertens, Jilles Vreeken, Arno Siebes |
| 2017 | Efficiently Summarising Event Sequences with Rich Interleaving Patterns. Apratim Bhattacharyya, Jilles Vreeken |
| 2017 | Embedded Supervised Feature Selection for Multi-class Data. Lin Chen, Jiliang Tang, Baoxin Li |
| 2017 | Error Metrics for Learning Reliable Manifolds from Streaming Data. Frank Schoeneman, Suchismit Mahapatra, Varun Chandola, Nils Napp, Jaroslaw Zola |
| 2017 | Exploiting Hierarchical Structures for Unsupervised Feature Selection. Suhang Wang, Yilin Wang, Jiliang Tang, Charu C. Aggarwal, Suhas Ranganath, Huan Liu |
| 2017 | Exploring Latent Semantic Factors to Find Useful Product Reviews. Subhabrata Mukherjee, Kashyap Popat, Gerhard Weikum |
| 2017 | FACETS: Adaptive Local Exploration of Large Graphs. Robert S. Pienta, Minsuk Kahng, Zhiyuan Lin, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau |
| 2017 | Finding low-tension communities. Esther Galbrun, Behzad Golshan, Aristides Gionis, Evimaria Terzi |
| 2017 | From Theory to Practice: Efficient Active Cost-sensitive Classification with Expected Error Reduction. Yexun Zhang, Yanfeng Wang, Wenbin Cai, Siyuan Zhou, Ya Zhang |
| 2017 | Front Matter. |
| 2017 | Generalized Inverse Classification. Michael T. Lash, Qihang Lin, W. Nick Street, Jennifer G. Robinson, Jeffrey W. Ohlmann |
| 2017 | Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media. Liang Wu, Jundong Li, Xia Hu, Huan Liu |
| 2017 | Graph-based semi-supervised learning for relational networks. Leto Peel |
| 2017 | H-Fuse: Efficient Fusion of Aggregated Historical Data. Zongge Liu, Hyun Ah Song, Vladimir Zadorozhny, Christos Faloutsos, Nicholas D. Sidiropoulos |
| 2017 | HBGG: a Hierarchical Bayesian Geographical Model for Group Recommendation. Ziyu Lu, Hui Li, Nikos Mamoulis, David W. Cheung |
| 2017 | Hash-Based Feature Learning for Incomplete Continuous-Valued Data. Shuai Yuan, Pang-Ning Tan, Kendra Spence Cheruvelil, C. Emi Fergus, Nicholas K. Skaff, Patricia A. Soranno |
| 2017 | HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection. Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong |
| 2017 | Identifying Deep Contrasting Networks from Time Series Data: Application to Brain Network Analysis. John Boaz Lee, Xiangnan Kong, Yihan Bao, Constance M. Moore |
| 2017 | Indexing and classifying gigabytes of time series under time warping. Chang Wei Tan, Geoffrey I. Webb, François Petitjean |
| 2017 | Learning from Multi-Modality Multi-Resolution Data: an Optimization Approach. Yada Zhu, Jianbo Li, Jingrui He |
| 2017 | Limited-memory Common-directions Method for Distributed Optimization and its Application on Empirical Risk Minimization. Ching-pei Lee, Po-Wei Wang, Weizhu Chen, Chih-Jen Lin |
| 2017 | Margin Distribution Logistic Machine. Yi Ding, Sheng-Jun Huang, Chen Zu, Daoqiang Zhang |
| 2017 | MeiKe: Influence-based Communities in Networks. Yao Zhang, Bijaya Adhikari, Steve T. K. Jan, B. Aditya Prakash |
| 2017 | Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities. Yao Zhang, Yun Xiong, Xinyue Liu, Xiangnan Kong, Yangyong Zhu |
| 2017 | Model-based von Mises-Fisher Co-clustering with a Conscience. Aghiles Salah, Mohamed Nadif |
| 2017 | Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains. Muhammad Yousefnezhad, Daoqiang Zhang |
| 2017 | Multi-Task Multiple Kernel Relationship Learning. Keerthiram Murugesan, Jaime G. Carbonell |
| 2017 | Multi-core K-means. Christian Böhm, Martin Perdacher, Claudia Plant |
| 2017 | MultiC Yao Zhou, Lei Ying, Jingrui He |
| 2017 | Multimodal Network Alignment. Huda Nassar, David F. Gleich |
| 2017 | Multivariate Confidence Intervals. Jussi Korpela, Emilia Oikarinen, Kai Puolamäki, Antti Ukkonen |
| 2017 | Near-Optimal and Practical Algorithms for Graph Scan Statistics. Jose Cadena, Feng Chen, Anil Vullikanti |
| 2017 | Outlier Detection for Text Data. Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal, Haesun Park |
| 2017 | Outlier Detection with Autoencoder Ensembles. Jinghui Chen, Saket Sathe, Charu C. Aggarwal, Deepak S. Turaga |
| 2017 | Polyadic Regression and its Application to Chemogenomics. Ioakeim Perros, Fei Wang, Ping Zhang, Peter B. Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun |
| 2017 | Predict Land Covers with Transition Modeling and Incremental Learning. Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar |
| 2017 | Price Recommendation on Vacation Rental Websites. Yang Li, Suhang Wang, Tao Yang, Quan Pan, Jiliang Tang |
| 2017 | Private and Right-Protected Big Data Publication: An Analysis. Reinhard Heckel, Michail Vlachos |
| 2017 | Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. Nitesh V. Chawla, Wei Wang |
| 2017 | Pruning Decision Trees via Max-Heap Projection. Zhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan, Wei Fan, Jieping Ye |
| 2017 | ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations. Tyler M. Tomita, Mauro Maggioni, Joshua T. Vogelstein |
| 2017 | Ranking in Heterogeneous Networks with Geo-Location Information. Abhinav Mishra, Leman Akoglu |
| 2017 | Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets. Daniel Basaran, Eirini Ntoutsi, Arthur Zimek |
| 2017 | Risk Clearance with Guaranteed Precision. Ryan McBride, Ke Wang, Viswanadh Nekkanti, Wenyuan Li |
| 2017 | Robust Map Matching for Heterogeneous Data via Dominance Decompositions. Martin P. Seybold |
| 2017 | Selection of Negative Samples for One-class Matrix Factorization. Hsiang-Fu Yu, Mikhail Bilenko, Chih-Jen Lin |
| 2017 | Sensitivity of Community Structure to Network Uncertainty. Marc Mitri, Fragkiskos D. Malliaros, Michalis Vazirgiannis |
| 2017 | Signed Network Embedding in Social Media. Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu |
| 2017 | Sparse Graphical Modeling via Stochastic Complexity. Kohei Miyaguchi, Shin Matsushima, Kenji Yamanishi |
| 2017 | Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining. Wilhelmiina Hämäläinen, Geoffrey I. Webb |
| 2017 | Statistical Learning Theory Approach for Data Classification with Koray Mancuhan, Chris Clifton |
| 2017 | Subnetwork Mining with Spatial and Temporal Smoothness. Xuan-Hong Dang, Hongyuan You, Ambuj K. Singh, Scott T. Grafton |
| 2017 | Targeted matrix completion. Natali Ruchansky, Mark Crovella, Evimaria Terzi |
| 2017 | The Power of Certainty: A Dirichlet-Multinomial Model for Belief Propagation. Dhivya Eswaran, Stephan Günnemann, Christos Faloutsos |
| 2017 | Time-Aware Subscription Prediction Model for User Acquisition in Digital News Media. Heidar Davoudi, Morteza Zihayat, Aijun An |
| 2017 | Toward Personalized Relational Learning. Jundong Li, Liang Wu, Osmar R. Zaïane, Huan Liu |
| 2017 | Uncovering Group Level Insights with Accordant Clustering. Amit Dhurandhar, Margareta Ackerman, Xiang Wang |
| 2017 | Uncovering the Spatiotemporal Patterns of Collective Social Activity. Martin Jankowiak, Manuel Gomez-Rodriguez |
| 2017 | Unified and Contrasting Graphical Lasso for Brain Network Discovery. Xinyue Liu, Xiangnan Kong, Ann B. Ragin |
| 2017 | Uplift Modeling with Multiple Treatments and General Response Types. Yan Zhao, Xiao Fang, David Simchi-Levi |
| 2017 | User-guided Cross-domain Sentiment Classification. Arun Reddy Nelakurthi, Hanghang Tong, Ross Maciejewski, Nadya Bliss, Jingrui He |
| 2017 | Using a Random Forest to Inspire a Neural Network and Improving on It. Suhang Wang, Charu C. Aggarwal, Huan Liu |
| 2017 | VolTime: Unsupervised Anomaly Detection on Users' Online Activity Volume. Daniel Y. T. Chino, Alceu Ferraz Costa, Agma J. M. Traina, Christos Faloutsos |
| 2017 | t-BNE: Tensor-based Brain Network Embedding. Bokai Cao, Lifang He, Xiaokai Wei, Mengqi Xing, Philip S. Yu, Heide Klumpp, Alex D. Leow |