Table of Contents

• Fast Exact Max-Kernel SearchRyan R. Curtin, Alexander G. Gray, Parikshit Ram. 1-9 [doi]
• Triadic Measures on Graphs: The Power of Wedge SamplingTamara G. Kolda, Ali Pinar, C. Seshadhri. 10-18 [doi]
• Maximal Deviations of Incomplete U-statistics with Applications to Empirical Risk SamplingStéphan Clémençon, Sylvain Robbiano, Jessica Tressou. 19-27 [doi]
• NetSpot: Spotting Significant Anomalous Regions on Dynamic NetworksPetko Bogdanov, Christos Faloutsos, Misael Mongiovì, Evangelos E. Papalexakis, Razvan Ranca, Ambuj K. Singh. 28-36 [doi]
• Mining Connection Pathways for Marked Nodes in Large GraphsLeman Akoglu, Duen Horng Chau, Christos Faloutsos, Nikolaj Tatti, Hanghang Tong, Jilles Vreeken. 37-45 [doi]
• Missing or Inapplicable: Treatment of Incomplete Continuous-valued Features in Supervised LearningLei Liu, Prakash Mandayam Comar, Antonio Nucci, Sabyasachi Saha, Pang-Ning Tan. 46-54 [doi]
• Patient Risk Prediction Model via Top-k Stability SelectionJianying Hu, Yashu Liu, Jimeng Sun, Jieping Ye, Jiayu Zhou. 55-63 [doi]
• Collective Kernel Construction in Noisy EnvironmentChris H. Q. Ding, Deguang Kong, Miao Zhang. 64-72 [doi]
• Mining Probabilistic Representative Frequent Patterns From Uncertain DataLing Chen, Chunyang Liu, Chengqi Zhang. 73-81 [doi]
• Discriminative Feature Selection for Uncertain Graph ClassificationXiangnan Kong, Ann B. Ragin, Xue Wang, Philip S. Yu. 82-93 [doi]
• Determining the Number of Clusters via Iterative Consensus ClusteringCarl Dean Meyer, Shaina Race, Kevin Valakuzhy. 94-102 [doi]
• Constrained Spectral Clustering using L1 RegularizationDaniel Boley, Jaya Kawale. 103-111 [doi]
• Efficient Anytime Density-based ClusteringChristian Böhm, Jing Feng, Xiao He, Son T. Mai. 112-120 [doi]
• Evolutionary Soft Co-ClusteringShuiwang Ji, Wenlu Zhang, Rui Zhang. 121-129 [doi]
• Sparse Subspace Clustering via Group Sparse CodingDuc-Son Pham, Dinh Q. Phung, Budhaditya Saha, Svetha Venkatesh. 130-138 [doi]
• On Graph Stream Clustering with Side InformationPhilip S. Yu, Yuchen Zhao. 139-150 [doi]
• Dynamic Community Detection in Weighted Graph StreamsJian-Huang Lai, Chang-Dong Wang, Philip S. Yu. 151-161 [doi]
• DELTACON: A Principled Massive-Graph Similarity FunctionChristos Faloutsos, Danai Koutra, Joshua T. Vogelstein. 162-170 [doi]
• What's Your Next Move: User Activity Prediction in Location-based Social NetworksHong Cheng, Jihang Ye, Zhe Zhu. 171-179 [doi]
• CoFiSet: Collaborative Filtering via Learning Pairwise Preferences over Item-setsLi Chen, Weike Pan. 180-188 [doi]
• k-means-: A Unified Approach to Clustering and Outlier DetectionSanjay Chawla, Aristides Gionis. 189-197 [doi]
• CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier DetectionKlemens Böhm, Fabian Keller, Emmanuel Müller, Hoang Vu Nguyen, Jilles Vreeken. 198-206 [doi]
• Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly DetectionSteven C. H. Hoi, Peilin Zhao. 207-215 [doi]
• Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship AnalysisLongbing Cao, Jinjiu Li, Can Wang, Philip S. Yu. 216-224 [doi]
• Outlier Detection with Space Transformation and Spectral AnalysisIra Assent, Xuan Hong Dang, Barbora Micenková, Raymond T. Ng. 225-233 [doi]
• Multi-objective Multi-view Spectral Clustering via Pareto OptimizationIan Davidson, Buyue Qian, Xiang Wang, Jieping Ye. 234-242 [doi]
• Multi-Transfer: Transfer Learning with Multiple Views and Multiple SourcesBen Tan, Evan Wei Xiang, Qiang Yang, ErHeng Zhong. 243-251 [doi]
• Multi-View Clustering via Joint Nonnegative Matrix FactorizationJing Gao, Jiawei Han, Jialu Liu, Chi Wang. 252-260 [doi]
• On Handling Negative Transfer and Imbalanced Distributions in Multiple Source Transfer LearningJing Gao, Liang Ge, Kang Li, Hung Ngo, Aidong Zhang. 261-269 [doi]
• Unsupervised Feature Selection for Multi-View Data in Social MediaJiliang Tang, Xia Hu, Huiji Gao, Huan Liu. 270-278 [doi]
• SMART: Semi-Supervised Music Emotion Recognition with Social TaggingAndrew Horner, Derek Hao Hu, Bin Wu, Qiang Yang, ErHeng Zhong. 279-287 [doi]
• Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive LearningAyan Acharya, Joydeep Ghosh, Eduardo R. Hruschka, Jean-David Ruvini, Badrul Sarwar. 288-296 [doi]
• Active Learning to Rank using Pairwise SupervisionIan Davidson, Hongfei Li, Buyue Qian, Jun Wang, Xiang Wang. 297-305 [doi]
• ActNeT: Active Learning for Networked Texts in MicrobloggingXia Hu, Jiliang Tang, Huiji Gao, Huan Liu. 306-314 [doi]
• Active Class Discovery and Learning for Networked DataMeng Fang, Jie Yin, Chengqi Zhang, Xingquan Zhu. 315-323 [doi]
• Climate Multi-model Regression Using Spatial SmoothingKarthik Subbian, Arindam Banerjee. 324-332 [doi]
• Distribution Regularized Regression Framework for Climate ModelingZubin Abraham, Malgorzata Liszewska, Perdinan, Pang-Ning Tan, Julie Winkler, Shiyuan Zhong. 333-341 [doi]
• Sparse Representation for HIV-1 Protease Drug Resistance PredictionRobert W. Harrison, Irene T. Weber, Xiaxia Yu. 342-349 [doi]
• Dynamic Shaker Detection from Evolving EntitiesWei Fan, Xiaoxiao Shi, Philip S. Yu. 350-358 [doi]
• Monitoring and mining GPS traces in transit spaceLeon Stenneth, Philip S. Yu. 359-368 [doi]
• Exploiting Synchronicity Networks for Finding Valuables in Heterogeneous NetworksChing-Yung Lin, Zhen Wen. 369-377 [doi]
• Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous NetworksHongbo Deng, Jiawei Han, Heng Ji, Hao Li, Yue Lu, Hongning Wang. 378-386 [doi]
• Opinion Maximization in Social NetworksAristides Gionis, Evimaria Terzi, Panayiotis Tsaparas. 387-395 [doi]
• Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location AwarenessBin Liu, Hui Xiong. 396-404 [doi]
• Community Detection with Prior KnowledgeKarthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Philip S. Yu. 405-413 [doi]
• Regularization of Latent Variable Models to Obtain SparsityRamnath Balasubramanyan, William W. Cohen. 414-422 [doi]
• Sparse Max-Margin Multiclass and Multi-label Classifier Design for Fast InferenceTanuja Ganu, Sundararajan Sellamanickam, Shirish Krishnaj Shevade. 423-431 [doi]
• An Empirical Study of the Suitability of Class Decomposition for Linear Models: When Does It Work Well?Francisco Ocegueda-Hernandez, Ricardo Vilalta. 432-440 [doi]
• Reduced Set KPCA for Improving the Training and Execution Speed of Kernel MachinesAlexander Gray, Hassan A. Kingravi, Patricio A. Vela. 441-449 [doi]
• A New Perspective on Convex Relaxations of Sparse SVMNoam Goldberg, Sven Leyffer, Todd Munson. 450-457 [doi]
• Time-sensitive Classification of Behavioral DataShin Ando, Einoshin Suzuki. 458-466 [doi]
• An Examination of Practical Granger Causality InferenceYan Liu, Mohammad Taha Bahadori. 467-475 [doi]
• Bregman Divergences and Triangle InequalitySreangsu Acharyya, Arindam Banerjee, Daniel Boley. 476-484 [doi]
• Joint Segmentation and Clustering in Text CorpusesSamuel J. Blasiak, Huzefa Rangwala, Sithu Sudarsan. 485-493 [doi]
• Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part RelationshipsZhengzhang Chen, Alok N. Choudhary, John Jenkins, Vipin Kumar, Anatoli V. Melechko, Jinfeng Rao, Nagiza F. Samatova, Fredrick H. M. Semazzi. 494-502 [doi]
• Contextual Time Series Change DetectionXi C. Chen, Karsten Steinhaeuser, Shyam Boriah, Snigdhansu Chatterjee, Vipin Kumar. 503-511 [doi]
• Very Fast Similarity Queries on Semi-Structured Data from the WebWilliam W. Cohen, Bhavana Bharat Dalvi. 512-520 [doi]
• Topic Models For Feature Selection in Document ClusteringAnna Drummond, Chris Jermaine, Zografoula Vagena. 521-529 [doi]
• A Nonparametric Mixture Model for Topic Modeling over TimeAvinava Dubey, Ahmed Hefny, Sinead Williamson, Eric P. Xing. 530-538 [doi]
• Discriminative Transfer Learning on ManifoldZheng Fang, Zhongfei Zhang. 539-547 [doi]
• SemInf: A Burst-based Semantic Influence Model for Biomedical Topic InfluenceDan He, Douglas Stott Parker Jr.. 548-559 [doi]
• Pinch Ratio Clustering from a Topologically Intrinsic Lexicographic OrderingDouglas R. Heisterkamp, Jesse Johnson. 560-568 [doi]
• Retweeting: An Act of Viral Users, Susceptible Users, or Viral Topics?Ee-Peng Lim, Tuan-Anh Hoang. 569-577 [doi]
• Time Series Classification under More Realistic AssumptionsBing Hu 0001, Yanping Chen, Eamonn J. Keogh. 578-586 [doi]
• Finding Affordable and Collaborative Teams from a Network of ExpertsAijun An, Mehdi Kargar, Morteza ZiHayat. 587-595 [doi]
• IBSM: Interval-Based Sequence MatchingAlexios Kotsifakos, Panagiotis Papapetrou, Vassilis Athitsos. 596-604 [doi]
• Modeling the Diffusion of Preferences on Social NetworksSan-Chuan Hung, Perng-Hwa Kung, Shou-de Lin, Jing-Kai Lou, Chin-Hua Tsai, Fu-Min Wang. 605-613 [doi]
• Mining Labelled Tensors by Discovering both their Common and Discriminative SubspacesJames Bailey, Jeffrey Chan, Kotagiri Ramamohanarao, Christopher Leckie, Wei Liu. 614-622 [doi]
• Modeling Clinical Time Series Using Gaussian Process SequencesMilos Hauskrecht, Zitao Liu, Lei Wu. 623-631 [doi]
• Integrity Verification of K-means Clustering Outsourced to Infrastructure as a Service (IaaS) ProvidersRuilin Liu, Philippos Mordohai, Wendy Hui Wang, Hui Xiong. 632-640 [doi]
• Selective Transfer Learning for Cross Domain RecommendationZhongqi Lu, Weike Pan, Evan Wei Xiang, Qiang Yang, Lili Zhao, ErHeng Zhong. 641-649 [doi]
• Change Detection from Temporal Sequences of Class Labels: Application to Land Cover Change MappingShyam Boriah, Ankush Khandelwal, Vipin Kumar, Varun Mithal, Karsten Steinhaeuser. 650-658 [doi]
• Fractional Immunization in NetworksLada A. Adamic, Christos Faloutsos, Theodore J. Iwashyna, B. Aditya Prakash, Hanghang Tong. 659-667 [doi]
• Fast Shapelets: A Scalable Algorithm for Discovering Time Series ShapeletsEamonn J. Keogh, Thanawin Rakthanmanon. 668-676 [doi]
• MC-MinH: Metagenome Clustering using Minwise based HashingHuzefa Rangwala, Zeehasham Rasheed. 677-685 [doi]
• Shattering and Compressing Networks for Betweenness CentralityÜmit V. Çatalyürek, Kamer Kaya, Ahmet Erdem Sariyüce, Erik Saule. 686-694 [doi]
• CoSelect: Feature Selection with Instance Selection for Social Media DataJiliang Tang, Huan Liu. 695-703 [doi]
• A Hierarchical Probabilistic Model for Low Sample Rate Home-Use Energy DisaggregationArnold P. Boedihardjo, Feng Chen, Haili Dong, Chang-Tien Lu, Bingsheng Wang. 704-712 [doi]
• On the Detectability of Node Grouping in NetworksYuguo Chen, Jiawei Han, Ming Ji, Jialu Liu, Lu Su, Chi Wang, Hongning Wang. 713-721 [doi]
• MODS: Multiple One-class Data Streams Learning from Homogeneous DataZhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu. 722-730 [doi]
• Robust Textual Data Streams Mining Based on Continuous Transfer LearningLongbing Cao, Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu. 731-739 [doi]
• Graphical Modeling of Macro Behavioral Targeting in Social NetworksAnkit Agrawal, Zhengzhang Chen, Yu Cheng, Alok N. Choudhary, Haotian Liu, Md. Mostofa Ali Patwary, Yusheng Xie, Kunpeng Zhang. 740-748 [doi]
• Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation MatrixXueqi Cheng, Jiafeng Guo, Shenghua Liu, Yanfeng Wang, Xiaohui Yan. 749-757 [doi]
• Set Coverage Problems in a One-Pass Data StreamHuiwen Yu, Dayu Yuan. 758-766 [doi]
• Sentiment Topic Model with Decomposed PriorZheng Chen, Chengtao Li, Jian-Tao Sun, Jianwen Zhang. 767-775 [doi]
• Topic-Level Expert Modeling in Community Question AnsweringTong Zhao, Naiwen Bian, Chunping Li, Mengya Li. 776-784 [doi]
• Butterfly Mixing: Accelerating Incremental-Update Algorithms on ClustersJohn Canny, Huasha Zhao. 785-793 [doi]
• It Is Not Just What We Say, But How We Say Them: LDA-based Behavior-Topic ModelJing Jiang, Minghui Qiu, Feida Zhu. 794-802 [doi]
• Feature Selection by Joint Graph Sparse CodingWei Ding 0003, Xindong Wu, Shichao Zhang 0001, Xiaofeng Zhu. 803 [doi]