Abstract is missing.
- Front Matter [doi]
- Clustering in the Face of Fast Changing StreamsLiudmila Ulanova, Nurjahan Begum, Mohammad Shokoohi-Yekta, Eamonn J. Keogh. 1-9 [doi]
- Kernelized Sparse Self-Representation for Clustering and RecommendationXiao Bian, Feng Li, Xia Ning. 10-17 [doi]
- Multi-Domain Manifold Learning for Drug-Target Interaction PredictionRuichu Cai, Zhenjie Zhang, Srinivasan Parthasarathy, Anthony K. H. Tung, Zhifeng Hao, Wen Zhang. 18-26 [doi]
- Finding Surprisingly Frequent Patterns of Variable Lengths in Sequence DataReza Sadoddin, Jörg Sander, Davood Rafiei. 27-35 [doi]
- Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep ArchitecturesJingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin. 36-44 [doi]
- Regularized Weighted Linear Regression for High-dimensional Censored DataYan Li, Bhanukiran Vinzamuri, Chandan K. Reddy. 45-53 [doi]
- Node Classification in Signed Social NetworksJiliang Tang, Charu C. Aggarwal, Huan Liu. 54-62 [doi]
- Uncovering Multiple Diffusion Networks Using the First-Hand Sharing PatternPei-Lun Liao, Chung-Kuang Chou, Ming-Syan Chen. 63-71 [doi]
- Integrating Community and Role Detection in Information NetworksTing Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Guofei Jiang. 72-80 [doi]
- Exploiting Emotional Information for Trust/Distrust PredictionGhazaleh Beigi, Jiliang Tang, Suhang Wang, Huan Liu. 81-89 [doi]
- Online Prediction of User Actions through an Ensemble Vote from Vector Representation and Frequency Analysis ModelsChangsung Moon, Dakota Medd, Paul Jones, Steve Harenberg, William Oxbury, Nagiza F. Samatova. 90-98 [doi]
- FairPlay: Fraud and Malware Detection in Google PlayMahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau. 99-107 [doi]
- Synergies that Matter: Efficient Interaction Selection via Sparse Factorization MachineJianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou. 108-116 [doi]
- A Spatial-Temporal Probabilistic Matrix Factorization Model for Point-of-Interest RecommendationHuayu Li, Richang Hong, Zhiang Wu, Yong Ge. 117-125 [doi]
- Top-N Recommendation with Novel Rank ApproximationZhao Kang, Qiang Cheng. 126-134 [doi]
- Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint ModelChu Guan, Yanjie Fu, Xinjiang Lu, Hui Xiong, Enhong Chen, Yingling Liu. 135-143 [doi]
- A Confidence-Based Approach for Balancing Fairness and AccuracyBenjamin Fish, Jeremy Kun, Ádám Dániel Lelkes. 144-152 [doi]
- Differentially Private Significance Testing on Paired-Sample DataChristine Task, Chris Clifton. 153-161 [doi]
- A general framework to increase the robustness of model-based change point detection algorithms to outliers and noiseXi C. Chen, Yuanshun Yao, Sichao Shi, Snigdhansu Chatterjee, Vipin Kumar, James H. Faghmous. 162-170 [doi]
- LODES: Local Density Meets Spectral Outlier DetectionSaket Sathe, Charu C. Aggarwal. 171-179 [doi]
- Routine Mining Based Anomaly Detection in Mobile Phone DataTian Qin, Guojie Song, Sizhen Du. 180-188 [doi]
- A Scalable Approach for Outlier Detection in Edge Streams Using Sketch-based ApproximationsStephen Ranshous, Steve Harenberg, Kshitij Sharma, Nagiza F. Samatova. 189-197 [doi]
- R1STM: One-class Support Tensor Machine with Randomised KernelSarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarad, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao. 198-206 [doi]
- Scalable Anomaly Ranking of Attributed NeighborhoodsBryan Perozzi, Leman Akoglu. 207-215 [doi]
- Linear and Kernel Classification: When to Use Which?Hsin-Yuan Huang, Chih-Jen Lin. 216-224 [doi]
- Pattern Aided ClassificationGuozhu Dong, Vahid Taslimitehrani. 225-233 [doi]
- TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale ClassificationRohit Babbar, Krikamol Muandet, Bernhard Schölkopf. 234-242 [doi]
- Discriminative Training of Structured Dictionaries via Block Orthogonal Matching PursuitWenling Shang, Kihyuk Sohn, Honglak Lee, Anna Gilbert. 243-251 [doi]
- A Unified View of Localized Kernel LearningJohn Moeller, Sarathkrishna Swaminathan, Suresh Venkatasubramanian. 252-260 [doi]
- Binary Classifier Calibration Using an Ensemble of Linear Trend EstimationMahdi Pakdaman Naeini, Gregory F. Cooper. 261-269 [doi]
- Power Simultaneous Spectral Data Embedding and ClusteringKais Allab, Lazhar Labiod, Mohamed Nadif. 270-278 [doi]
- Process Trace Clustering: A Heterogeneous Information Network ApproachPhuong Nguyen, Aleksander Slominski, Vinod Muthusamy, Vatche Ishakian, Klara Nahrstedt. 279-287 [doi]
- Lagrangian Constrained ClusteringMohadeseh Ganji, James Bailey, Peter J. Stuckey. 288-296 [doi]
- Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping ClusteringYangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon. 297-305 [doi]
- Stochastic Co-clustering for Document-Term DataAghiles Salah, Nicoleta Rogovschi, Mohamed Nadif. 306-314 [doi]
- On finding the maximum edge biclique in a bipartite graph: a subspace clustering approachEran Shaham, Honghai Yu, Xiao-Li Li. 315-323 [doi]
- k-means algorithmsPetr Rysavý, Greg Hamerly. 324-332 [doi]
- Pivot-based k-means Algorithm for Numerous-class Data SetsTakashi Hattori, Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda, Eri Kobayashi. 333-341 [doi]
- k-Means for Streaming and Distributed Big Sparse DataArtem Barger, Dan Feldman. 342-350 [doi]
- ds: Fast and Scalable Subspace Clustering for Multidimensional Data StreamsAfonso Expedito Da Silva, Lucas L. Sanches, Antonio C. Fraideinberze, Robson L. F. Cordeiro. 351-359 [doi]
- Online Clustering of Multivariate Time-seriesMasud Moshtaghi, Christopher Leckie, James C. Bezdek. 360-368 [doi]
- Learning A Task-Specific Deep Architecture For ClusteringZhangyang Wang, Shiyu Chang, Jiayu Zhou, Meng Wang, Thomas S. Huang. 369-377 [doi]
- Kernelized Matrix Factorization for Collaborative FilteringXinyue Liu, Chara Aggarwal, Yu-Feng Li, Xiaugnan Kong, Xinyuan Sun, Saket Sathe. 378-386 [doi]
- Robust Unsupervised Feature Selection on Networked DataJundong Li, Xia Hu, Liang Wu, Huan Liu. 387-395 [doi]
- Euclidean Co-Embedding of Ordinal Data for Multi-Type VisualizationDung D. Le, Hady Wirawan Lauw. 396-404 [doi]
- K-Nearest Neighbor Search and Outlier Detection via Minimax DistancesMorteza Haghir Chehreghani. 405-413 [doi]
- Nonlinear Joint Unsupervised Feature SelectionXiaokai Wei, Bokai Cao, Philip S. Yu. 414-422 [doi]
- A Framework to Adjust Dependency Measure Estimates for ChanceSimone Romano 0003, Nguyen Xuan Vinh, James Bailey, Karin Verspoor. 423-431 [doi]
- Risk Prediction with Electronic Health Records: A Deep Learning ApproachYu Cheng, Fei Wang, Ping Zhang, Jianying Hu. 432-440 [doi]
- Predicting the Popularity of News ArticlesYaser Keneshloo, Shuguang Wang, Eui-Hong Sam Han, Naren Ramakrishnan. 441-449 [doi]
- Uncovering Latent Behaviors in Ant ColoniesMohamed Kafsi, Raphaël Braunschweig, Danielle Mersch, Matthias Grossglauser, Laurent Keller, Patrick Thiran. 450-458 [doi]
- The Impact of Community Safety on House RankingZijun Yao, Yanjie Fu, Bin Liu, Hui Xiong. 459-467 [doi]
- iPath: Forecasting the Pathway to ImpactLiangyue Li, Hanghang Tong, Jie Tang, Wei Fan. 468-476 [doi]
- Cost-Sensitive Batch Mode Active Learning: Designing Astronomical Observation by Optimizing Telescope Time and Telescope ChoiceXide Xia, Pavlos Protopapas, Finale Doshi-Velez. 477-485 [doi]
- A Fast Kernel for Attributed GraphsYu Su, Fangqiu Han, Richard E. Harang, Xifeng Yan. 486-494 [doi]
- BIRDNEST: Bayesian Inference for Ratings-Fraud DetectionBryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos. 495-503 [doi]
- Unstable Communities in Network EnsemblesAhsanur Rahman, Steve T. K. Jan, Hyunju Kim, B. Aditya Prakash, T. M. Murali. 504-512 [doi]
- CAMLP: Confidence-Aware Modulated Label PropagationYuto Yamaguchi, Christos Faloutsos, Hiroyuki Kitagawa. 513-521 [doi]
- Query-Driven Maximum Quasi-Clique SearchPei Lee, Laks V. S. Lakshmanan. 522-530 [doi]
- Distributed Representations of ExpertiseFangqiu Han, Shulong Tan, Huan Sun, Mudhakar Srivatsa, Deng Cai, Xifeng Yan. 531-539 [doi]
- Temporal Kernel Descriptors for Learning with Time-sensitive PatternsDoyen Sahoo, Abhishek Sharma, Steven C. H. Hoi, Peilin Zhao. 540-548 [doi]
- Modelling Recurrent Events for Improving Online Change DetectionAlexandr V. Maslov, Mykola Pechenizkiy, Indre Zliobaite, Tommi Kärkkäinen. 549-557 [doi]
- MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit DistanceJingbo Shang, Jian Peng, Jiawei Han. 558-566 [doi]
- DPClass: An Effective but Concise Discriminative Patterns-Based Classification FrameworkJingbo Shang, Wenzhu Tong, Jian Peng, Jiawei Han. 567-575 [doi]
- Fast Lossless Frequent Itemset Mining in Data Streams using Crucial PatternsAriyam Das, Carlo Zaniolo. 576-584 [doi]
- Flexibly Mining Better SubgroupsHoang Vu Nguyen, Jilles Vreeken. 585-593 [doi]
- Deterministic Column Sampling for Low-Rank Matrix Approximation: Nyström vs. Incomplete Cholesky DecompositionRaajen Patel, Tom Goldstein, Eva L. Dyer, Azalia Mirhoseini, Richard G. Baraniuk. 594-602 [doi]
- 2-regularized loss functions, with implementation in Apache SparkMichael B. Hynes, Hans De Sterck. 603-611 [doi]
- Structured Regression on Multilayer NetworksAthanasia Polychronopoulou, Zoran Obradovic. 612-620 [doi]
- RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information NetworksChenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Lidan Wang, Ming Zhang. 621-629 [doi]
- Collective Opinion Spam Detection using Active InferenceShebuti Rayana, Leman Akoglu. 630-638 [doi]
- Discovery of Precursors to Adverse Events using Time Series DataVijay Manikandan Janakiraman, Bryan L. Matthews, Nikunj C. Oza. 639-647 [doi]
- Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty ReductionSihong Xie, Qingbo Hu, Weixiang Shao, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu. 648-656 [doi]
- GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location PredictionJianpeng Xu, Pang-Ning Tan, Lifeng Luo, Jiayu Zhou. 657-665 [doi]
- Learning Correlative and Personalized Structure for Online Multi-Task ClassificationPeng Yang, Guangxia Li, Peilin Zhao, Xiaoli Li 0001, Sujatha Das Gollapalli. 666-674 [doi]
- Online Sparse Passive Aggressive Learning with KernelsJing Lu, Peilin Zhao, Steven C. H. Hoi. 675-683 [doi]
- 1 RegularizersBalamurugan Palanisamy, Anusha Posinasetty, Shirish Krishnaj Shevade. 684-692 [doi]
- Structural Orthogonal Procrustes Regression for Face Recognition with Pose Variations and MisalignmentYing Tai, Jian Yang, Fanlong Zhang, Yigong Zhang, Lei Luo, Jianjun Qian. 693-701 [doi]
- Capricorn: An Algorithm for Subtropical Matrix FactorizationSanjar Karaev, Pauli Miettinen. 702-710 [doi]
- Automatic Unsupervised Tensor Mining with Quality AssessmentEvangelos E. Papalexakis. 711-719 [doi]
- Rank Selection for Non-negative Matrix Factorization with Normalized Maximum Likelihood CodingYu Ito, Shinichi Oeda, Kenji Yamanishi. 720-728 [doi]
- Sparse Hybrid Variational-Gibbs Algorithm for Latent Dirichlet AllocationXiMing Li, Jihong OuYang, Xiaotang Zhou. 729-737 [doi]
- Scaling Lifted Probabilistic Inference and Learning Via Graph DatabasesMayukh Das, Yuqing Wu, Tushar Khot, Kristian Kersting, Sriraam Natarajan. 738-746 [doi]
- Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic PerspectiveSong Liu, Kenji Fukumizu. 747-755 [doi]
- Constrained Group Testing to Predict Binding Response of Candidate CompoundsPaul Quint, Stephen D. Scott, N. V. Vinodchandran, Brad Worley. 756-764 [doi]
- Regularized Parametric Regression for High-dimensional Survival AnalysisYan Li, Kevin S. Xu, Chandan K. Reddy. 765-773 [doi]
- Copula-HDP-HMM: Non-parametric Modeling of Temporal Multivariate Data for I/O Efficient Bulk Cache PreloadingLavanya Sita Tekumalla, Chiranjib Bhattacharyya. 774-782 [doi]
- On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and DiscoveriesVenkata Krishna Pillutla, Zhanpeng Fang, Pravallika Devineni, Christos Faloutsos, Danai Koutra, Jie Tang. 783-791 [doi]
- Universal Dependency AnalysisHoang Vu Nguyen, Panagiotis Mandros, Jilles Vreeken. 792-800 [doi]
- High Dimensional Structured Estimation with Noisy DesignsAmir Asiaee T., Soumyadeep Chatterjee, Arindam Banerjee. 801-809 [doi]
- Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based FrameworkZitao Liu, Milos Hauskrecht. 810-818 [doi]
- Spatio-Temporal Tensor Analysis for Whole-Brain fMRI ClassificationGuixiang Ma, LiFang He, Chun-Ta Lu, Philip S. Yu, LinLin Shen, Ann B. Ragin. 819-827 [doi]
- Linear-time Detection of Non-linear Changes in Massively High Dimensional Time SeriesHoang Vu Nguyen, Jilles Vreeken. 828-836 [doi]
- Speeding Up All-Pairwise Dynamic Time Warping Matrix CalculationDiego Furtado Silva, Gustavo E. A. P. A. Batista. 837-845 [doi]
- Joint Learning of Representation and Structure for Sparse Regression on GraphsChao Han, Shanshan Zhang, Mohamed F. Ghalwash, Slobodan Vucetic, Zoran Obradovic. 846-854 [doi]
- Infusing Geo-Recency Mixture Models for Effective Location Prediction in LBSNRoland Assam, Subramanyam Sathyanarayana, Thomas Seidl 0001. 855-863 [doi]
- Back Matter864-867 [doi]