Table of Contents

• Class Augmented Active LearningHong Cao, Chunyu Bao, Xiaoli Li, David Yew-Kwong Woon. 1-9 [doi]
• Batch Mode Active Learning with Hierarchical-Structured Embedded VarianceYu Cheng, Zhengzhang Chen, Hongliang Fei, Fei Wang, Alok N. Choudhary. 10-18 [doi]
• Learning from Multi-User Multi-Attribute AnnotationsOu Wu, Shuxiao Li, Honghui Dong, Ying Chen, Weiming Hu. 19-27 [doi]
• Selective Sampling on Probabilistic DataPeng Peng, Raymond Chi-Wing Wong. 28-36 [doi]
• Disambiguation-Free Partial Label LearningMin-Ling Zhang. 37-45 [doi]
• DAVA: Distributing Vaccines over Networks under Prior InformationYao Zhang, B. Aditya Prakash. 46-54 [doi]
• Influence Maximization with Viral Product DesignNicola Barbieri, Francesco Bonchi. 55-63 [doi]
• A Generative Model with Network Regularization for Semi-Supervised Collective ClassificationRuichao Shi, Qingyao Wu, Yunming Ye, Shen-Shyang Ho. 64-72 [doi]
• Local Learning for Mining Outlier Subgraphs from Network DatasetsManish Gupta, Arun Mallya, Subhro Roy, Jason H. D. Cho, Jiawei Han. 73-81 [doi]
• A Probabilistic Approach to Uncovering Attributed Graph AnomaliesNan Li, Huan Sun, Kyle C. Chipman, Jemin George, Xifeng Yan. 82-90 [doi]
• VOG: Summarizing and Understanding Large GraphsDanai Koutra, U. Kang, Jilles Vreeken, Christos Faloutsos. 91-99 [doi]
• Context-Preserving Hashing for Fast Text ClassificationLianhua Chi, Bin Li, Xingquan Zhu. 100-108 [doi]
• FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on HadoopAlex Beutel, Partha Pratim Talukdar, Abhimanu Kumar, Christos Faloutsos, Evangelos E. Papalexakis, Eric P. Xing. 109-117 [doi]
• Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200xEvangelos E. Papalexakis, Christos Faloutsos, Tom M. Mitchell, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Brian Murphy. 118-126 [doi]
• DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to NeuroimagesLiFang He, Xiangnan Kong, Philip S. Yu, Xiaowei Yang, Ann B. Ragin, Zhifeng Hao. 127-135 [doi]
• How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection ApproachJuhua Hu, Jian Pei, Jie Tang. 136-144 [doi]
• Unveiling Variables in Systems of Linear EquationsBehzad Golshan, Evimaria Terzi. 145-153 [doi]
• Transductive HSIC LassoDan He, Irina Rish, Laxmi Parida. 154-162 [doi]
• Robust Subspace Discovery through Supervised Low-Rank ConstraintsSheng Li, Yun Fu. 163-171 [doi]
• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary CodesCaiming Xiong, Wei Chen, Gang Chen, David M. Johnson, Jason J. Corso. 172-180 [doi]
• Linking Heterogeneous Input Spaces with Pivots for Multi-Task LearningJingrui He, Yan Liu, Qiang Yang. 181-189 [doi]
• Active Multitask Learning Using Both Latent and Supervised Shared TopicsAyan Acharya, Raymond J. Mooney, Joydeep Ghosh. 190-198 [doi]
• Multi-Task Feature Selection on Multiple Networks via Maximum FlowsMahito Sugiyama, Chloé-Agathe Azencott, Dominik Grimm, Yoshinobu Kawahara, Karsten M. Borgwardt. 199-207 [doi]
• Mixed-Transfer: Transfer Learning over Mixed GraphsBen Tan, ErHeng Zhong, Michael K. Ng, Qiang Yang 0001. 208-216 [doi]
• Multi-Graph Learning with Positive and Unlabeled BagsJia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Zhihua Cai. 217-225 [doi]
• Consumer Segmentation and Knowledge Extraction from Smart Meter and Survey DataTri Kurniawan Wijaya, Tanuja Ganu, Dipanjan Chakraborty 0001, Karl Aberer, Deva P. Seetharam. 226-234 [doi]
• Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical InterventionsSunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh. 235-243 [doi]
• Turning the Tide: Curbing Deceptive Yelp BehaviorsMahmudur Rahman, Bogdan Carbunar, Jaime Ballesteros, George Burri, Duen Horng (Polo) Chau. 244-252 [doi]
• Predictive Learning in the Presence of Heterogeneity and LimitedTraining Data, Anuj Karpatne, Ankush Khandelwal, Shyam Boriah, Vipin Kumar. 253-261 [doi]
• Forecasting a Moving Target: Ensemble Models for ILI Case Count PredictionsPrithwish Chakraborty, Pejman Khadivi, Bryan Lewis, Aravindan Mahendiran, Jiangzhuo Chen, Patrick Butler, Elaine O. Nsoesie, Sumiko R. Mekaru, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan. 262-270 [doi]
• AUC dominant unsupervised ensemble of binary classifiersPriyanka Agrawal, Vikas C. Raykar, Amrita Saha. 271-279 [doi]
• Convex Optimization for Binary Classifier Aggregation in Multiclass ProblemsSunHo Park, TaeHyun Hwang, Seungjin Choi. 280-288 [doi]
• A Deep Learning Approach to Link Prediction in Dynamic NetworksXiaoyi Li, Nan Du, Hui Li, Kang Li, Jing Gao, Aidong Zhang. 289-297 [doi]
• A Marginalized Denoising Method for Link Prediction in Relational DataZheng Chen, Weixiong Zhang. 298-306 [doi]
• Learning on Probabilistic LabelsPeng Peng, Raymond Chi-Wing Wong, Philip S. Yu. 307-315 [doi]
• Adaptive User Distance Modeling in Social MediaErHeng Zhong, Wei Fan, Qiang Yang 0001. 316-324 [doi]
• Make It or Break It: Manipulating Robustness in Large NetworksHau Chan, Leman Akoglu, Hanghang Tong. 325-333 [doi]
• It Takes Two to Tango: Exploring Social Tie Development with Both Online and Offline InteractionsPeifeng Yin, Qi He, Xingjie Liu, Wang-Chien Lee. 334-342 [doi]
• Laplacian Spectral Properties of Graphs from Random Local SamplesZhengwei Wu, Victor M. Preciado. 343-351 [doi]
• Triangle counting in streamed graphs via small vertex coversDavid García-Soriano, Konstantin Kutzkov. 352-360 [doi]
• A Constrained Hidden Markov Model Approach for Non-Explicit Citation Context ExtractionParikshit Sondhi, ChengXiang Zhai. 361-369 [doi]
• Joint Author Sentiment Topic ModelSubhabrata Mukherjee, Gaurab Basu, Sachindra Joshi. 370-378 [doi]
• A Dynamic Nonparametric Model for Characterizing the Topical Communities in Social StreamsZiqi Liu, Qinghua Zheng, Fei Wang, Zhenhua Tian, Bo Li. 379-387 [doi]
• Recurrent Chinese Restaurant Process with a Duration-based Discount for Event Identification from TwitterQiming Diao, Jing Jiang. 388-397 [doi]
• Automatic Construction and Ranking of Topical Keyphrases on Collections of Short DocumentsMarina Danilevsky, Chi Wang, Nihit Desai, Xiang Ren, Jingyi Guo, Jiawei Han. 398-406 [doi]
• On Randomly Projected Hierarchical Clustering with GuaranteesJohannes Schneider, Michail Vlachos. 407-415 [doi]
• Self-Taught Spectral Clustering via Constraint AugmentationXiang Wang, Jun Wang, Buyue Qian, Fei Wang, Ian Davidson. 416-424 [doi]
• k-Means on MapReduceAhmed Elgohary, Ahmed K. Farahat, Mohamed S. Kamel, Fakhri Karray. 425-433 [doi]
• A Constructive Setting for the Problem of Density Ratio EstimationVladimir Vapnik, Igor Braga, Rauf Izmailov. 434-442 [doi]
• Density Estimation with Adaptive Sparse Grids for Large Data SetsBenjamin Peherstorfer, Dirk Pflüger, Hans-Joachim Bungartz. 443-451 [doi]
• Latent Factor Transition for Dynamic Collaborative FilteringChenyi Zhang, Ke Wang, Hongkun Yu, Jianling Sun, Ee-Peng Lim. 452-460 [doi]
• Contextual Combinatorial Bandit and its Application on Diversified Online RecommendationLijing Qin, Shouyuan Chen, Xiaoyan Zhu. 461-469 [doi]
• User Preference Learning with Multiple Information Fusion for Restaurant RecommendationYanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong. 470-478 [doi]
• On Modeling Community Behaviors and Sentiments in MicrobloggingTuan-Anh Hoang, William W. Cohen, Ee-Peng Lim. 479-487 [doi]
• Selecting a Representative Set of Diverse Quality Reviews AutomaticallyNana Xu, Hongyan Liu, Jiawei Chen, Jun He, Xiaoyong Du. 488-496 [doi]
• Finding the True Frequent ItemsetsMatteo Riondato, Fabio Vandin. 497-505 [doi]
• A Statistical Learning Theory Framework for Supervised Pattern DiscoveryJonathan H. Huggins, Cynthia Rudin. 506-514 [doi]
• When and Where: Predicting Human Movements Based on Social Spatial-Temporal EventsNing Yang, Xiangnan Kong, Fengjiao Wang, Philip S. Yu. 515-523 [doi]
• Ensembles of Elastic Distance Measures for Time Series ClassificationJason Lines, Anthony Bagnall. 524-532 [doi]
• Discovery of Rare Sequential Topic Patterns in Document StreamZhongYi Hu, Hongan Wang, Jiaqi Zhu, Maozhen Li, Ying Qiao, Changzhi Deng. 533-541 [doi]
• Generalized Outlier Detection with Flexible Kernel Density EstimatesErich Schubert, Arthur Zimek, Hans-Peter Kriegel. 542-550 [doi]
• Building associations between markers of environmental stressors and adverse human health impacts using frequent itemset miningShannon M. Bell, Stephen W. Edwards. 551-559 [doi]
• Less is More: Similarity of Time Series under Linear TransformationsFrank Höppner. 560-568 [doi]
• Graphical Models for Identifying Fraud and Waste in Healthcare ClaimsPeder A. Olsen, Ramesh Natarajan, Sholom M. Weiss. 569-577 [doi]
• Classifier-Adjusted Density Estimation for Anomaly Detection and One-Class ClassificationLisa Friedland, Amanda Gentzel, David Jensen. 578-586 [doi]
• Towards Accurate Histogram Publication under Differential PrivacyXiaojian Zhang, Rui Chen, Jianliang Xu, Xiaofeng Meng, Yingtao Xie. 587-595 [doi]
• WCAMiner: A Novel Knowledge Discovery System for Mining Concept Associations using WikipediaPeng Yan, Wei Jin. 596-604 [doi]
• META: Multi-resolution Framework for Event SummarizationYexi Jiang, Chang-Shing Perng, Tao Li. 605-613 [doi]
• The Benefits of Personalized Smartphone-Based Activity Recognition ModelsJeffrey W. Lockhart, Gary M. Weiss. 614-622 [doi]
• Online Matrix Completion Through Nuclear Norm RegularisationCharanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon. 623-631 [doi]
• Online Discovery of Group Level Events in Time SeriesXi C. Chen, Abdullah Mueen, Vijay K. Narayanan, Nikos Karampatziakis, Gagan Bansal, Vipin Kumar. 632-640 [doi]
• Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation FeaturesMichael Kamp, Mario Boley, Thomas Gärtner. 641-649 [doi]
• Relational Regularization and Feature RankingFabrizio Costa, Mathias Verbeke, Luc De Raedt. 650-658 [doi]
• Exploiting Monotonicity Constraints in Active Learning for Ordinal ClassificationPieter Soons, Ad Feelders. 659-667 [doi]
• Quantifying trust dynamics in signed graphs, the S-Cores approachChristos Giatsidis, Bogdan Cautis, Silviu Maniu, Dimitrios M. Thilikos, Michalis Vazirgiannis. 668-676 [doi]
• Improving Credit Card Fraud Detection with Calibrated ProbabilitiesAlejandro Correa Bahnsen, Aleksandar Stojanovic, Djamila Aouada, Björn E. Ottersten. 677-685 [doi]
• Unsupervised Selection of Robust Audio Feature SubsetsGerhard Sageder, Maia Zaharieva, Matthias Zeppelzauer. 686-694 [doi]
• Kaleido: Network Traffic Attribution using Multifaceted FootprintingTing Wang, Fei Wang, Reiner Sailer, Douglas Lee Schales. 695-703 [doi]
• ROCsearch - An ROC-guided Search Strategy for Subgroup DiscoveryMarvin Meeng, Wouter Duivesteijn, Arno J. Knobbe. 704-712 [doi]
• Result Integrity Verification of Outsourced Bayesian Network Structure LearningRuilin Liu, Wendy Hui Wang, Changhe Yuan. 713-721 [doi]
• Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance SamplingKe Wu, Andrea Edwards, Wei Fan, Jing Gao, Kun Zhang. 722-730 [doi]
• Towards Breaking the Curse of Dimensionality for High-Dimensional PrivacyHessam Zakerzadeh, Charu C. Aggarwal, Ken Barker. 731-739 [doi]
• Extracting Researcher Metadata with Labeled FeaturesSujatha Das Gollapalli, Yanjun Qi, Prasenjit Mitra, C. Lee Giles. 740-748 [doi]
• Future Influence Ranking of Scientific LiteratureSenzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu. 749-757 [doi]
• Membership Detection Using Cooperative Data Mining AlgorithmsCalvin Newport, Lisa Singh, Yiqing Ren. 758-766 [doi]
• Efficient Matching of Substrings in Uncertain SequencesYuxuan Li, James Bailey, Lars Kulik, Jian Pei. 767-775 [doi]
• Modeling Asymmetry and Tail Dependence among Multiple Variables by Using Partial Regular VineWei Wei, Junfu Yin, Jinyan Li, Longbing Cao. 776-784 [doi]
• Multi-Task Clustering using Constrained Symmetric Non-Negative Matrix FactorizationSamir Al-Stouhi, Chandan K. Reddy. 785-793 [doi]
• A Weighted Adaptive Mean Shift Clustering AlgorithmYa-Zhou Ren, Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu. 794-802 [doi]
• Community Discovery in Social Networks via Heterogeneous Link Association and FusionLei Meng, Ah-Hwee Tan. 803-811 [doi]
• Large-scale Kernel RankSVMTzu-Ming Kuo, Ching-Pei Lee, Chih-Jen Lin. 812-820 [doi]
• Detecting Influence Relationships from GraphsChuan Hu, Huiping Cao, Chaomin Ke. 821-829 [doi]
• Discriminative Density-ratio EstimationYun-Qian Miao, Ahmed K. Farahat, Mohamed S. Kamel. 830-838 [doi]
• Density-Based Clustering ValidationDavoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander. 839-847 [doi]
• Directed Interpretable Discovery in Tensors with Sparse ProjectionChia-Tung Kuo, Ian Davidson. 848-856 [doi]
• Recovering Missing Labels of Crowdsourcing WorkersQingyang Hu, Kevin Chiew, Hao Huang, Qinming He. 857-865 [doi]
• Factor Matrix Trace Norm Minimization for Low-Rank Tensor CompletionYuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng, Hanghang Tong. 866-874 [doi]
• A New Framework for Traffic Anomaly DetectionJinsong Lan, Cheng Long, Raymond Chi-Wing Wong, Youyang Chen, Yanjie Fu, Danhuai Guo, Shuguang Liu, Yong Ge, Yuanchun Zhou, Jianhui Li. 875-883 [doi]
• Characterising Seismic DataRoel Bertens, Arno Siebes. 884-892 [doi]
• Submodularity in Team Formation ProblemAvradeep Bhowmik, Vivek S. Borkar, Dinesh Garg, Madhavan Pallan. 893-901 [doi]
• Unsupervised Feature Learning by Deep Sparse CodingYunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi. 902-910 [doi]
• Online Anomaly Detection by Improved Grammar Compression of Log SequencesYun Gao, Wei Zhou, Zhang Zhang, Jizhong Han, Dan Meng, Zhiyong Xu. 911-919 [doi]
• Large-Scale Multi-Label Learning with Incomplete Label AssignmentsXiangnan Kong, Zhaoming Wu, Li-Jia Li, Ruofei Zhang, Philip S. Yu, Hang Wu, Wei Fan. 920-928 [doi]
• Adversarial Learning with Bayesian Hierarchical Mixtures of ExpertsYan Zhou, Murat Kantarcioglu. 929-937 [doi]
• Discriminant Analysis for Unsupervised Feature SelectionJiliang Tang, Xia Hu, Huiji Gao, Huan Liu. 938-946 [doi]
• Finding Friends on a New Site Using Minimum InformationReza Zafarani, Huan Liu. 947-955 [doi]
• On Finding the Point Where There Is No Return: Turning Point Mining on Game DataWei Gong, Ee-Peng Lim, Feida Zhu, Palakorn Achananuparp, David Lo. 956-964 [doi]
• Addressing Human Subjectivity via Transfer Learning: An Application to Predicting Disease Outcome in Multiple Sclerosis PatientsYijun Zhao, Carla E. Brodley, Tanuja Chitnis, Brian C. Healy. 965-973 [doi]
• A graphical model approach to ATLAS-free mining of MRI imagesChris S. Magnano, Ameet Soni, Sriraam Natarajan, Gautam Kunapuli. 974-982 [doi]
• To Sample or To Smash? Estimating reachability in large time-varying graphsPrithwish Basu, Feng Yu, Amotz Bar-Noy, Dror Rawitz. 983-991 [doi]
• An Optimization-based Framework to Learn Conditional Random Fields for Multi-label ClassificationMahdi Pakdaman Naeini, Iyad Batal, Zitao Liu, Charmgil Hong, Milos Hauskrecht. 992-1000 [doi]
• Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of TimeGowtham Atluri, Michael Steinbach, Kelvin O. Lim, Angus W. MacDonald III, Vipin Kumar. 1001-1009 [doi]
• Memory-efficient Query-driven Community Detection with Application to Complex Disease AssociationsSteve Harenberg, Ramona G. Seay, Stephen Ranshous, Kanchana Padmanabhan, Jitendra K. Harlalka, Eric R. Schendel, Michael P. O'Brien, Rada Chirkova, William Hendrix, Alok N. Choudhary, Vipin Kumar, Murali Doraiswamy, Nagiza F. Samatova. 1010-1018 [doi]
• Frugal Traffic Monitoring with Autonomous Participatory SensingVladimir Coric, Nemanja Djuric, Slobodan Vucetic. 1019-1027 [doi]
• Iterative Framework Radiation Hybrid MappingRaed I. Seetan, Anne M. Denton, Omar Al Azzam, Ajay Kumar, Jazarai Sturdivant, Shahryar F. Kianian. 1028-1036 [doi]
• A Guide to Selecting a Network Similarity MethodSucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher. 1037-1045 [doi]
• Subgraph Search in Large Graphs with Result DiversificationHuiwen Yu, Dayu Yuan. 1046-1054 [doi]
• Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health RecordsSanjoy Dey, György J. Simon, Bonnie L. Westra, Michael Steinbach, Vipin Kumar. 1055-1063 [doi]
• Auto-play: A Data Mining Approach to ODI Cricket Simulation and PredictionVignesh Veppur Sankaranarayanan, Junaed Sattar, Laks V. S. Lakshmanan. 1064-1072 [doi]
• Accelerating Graph Adjacency Matrix Multiplications with Adjacency ForestMasaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata. 1073-1081 [doi]