Table of Contents

• Explore/Exploit Schemes for Web Content OptimizationDeepak Agarwal, Bee-Chung Chen, Pradheep Elango. 1-10 [doi]
• Connecting Sparsely Distributed Similar BloggersNitin Agarwal, Huan Liu, Shankara B. Subramanya, John J. Salerno, Philip S. Yu. 11-20 [doi]
• Rule Ensembles for Multi-target RegressionTimo Aho, Bernard Zenko, Saso Dzeroski. 21-30 [doi]
• A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer NetworksKanishka Bhaduri, Ashok N. Srivastava. 31-40 [doi]
• Cross-Guided Clustering: Transfer of Relevant Supervision across Domains for Improved ClusteringIndrajit Bhattacharya, Shantanu Godbole, Sachindra Joshi, Ashish Verma. 41-50 [doi]
• Audio Classification of Bird Species: A Statistical Manifold ApproachForrest Briggs, Raviv Raich, Xiaoli Z. Fern. 51-60 [doi]
• Finding Associations and Computing Similarity via Biased Pair SamplingAndrea Campagna, Rasmus Pagh. 61-70 [doi]
• Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting ModelGuangyun Chen, Gang Chen, Jianwen Zhang, Shuo Chen, Changshui Zhang. 71-80 [doi]
• Probabilistic Similarity Query on Dimension Incomplete DataWei Cheng, Xiaoming Jin, Jian-Tao Sun. 81-90 [doi]
• flowNet: Flow-Based Approach for Efficient Analysis of Complex Biological NetworksYoung-Rae Cho, Lei Shi, Aidong Zhang. 91-100 [doi]
• ?-Anomica: A Fast Support Vector Based Novelty Detection TechniqueSantanu Das, Kanishka Bhaduri, Nikunj C. Oza, Ashok N. Srivastava. 101-109 [doi]
• Temporal Neighborhood Discovery Using Markov ModelsSandipan Dey, Vandana Pursnani Janeja, Aryya Gangopadhyay. 110-119 [doi]
• Active Learning with Generalized QueriesJun Du, Charles X. Ling. 120-128 [doi]
• Conditional Models for Non-smooth Ranking Loss FunctionsAvinava Dubey, Jinesh Machchhar, Chiranjib Bhattacharyya, Soumen Chakrabarti. 129-138 [doi]
• Unsupervised Class Separation of Multivariate Data through Cumulative Variance-Based RankingAndrew Foss, Osmar R. Zaïane, Sandra Zilles. 139-148 [doi]
• Execution Anomaly Detection in Distributed Systems through Unstructured Log AnalysisQiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li. 149-158 [doi]
• Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer ClassificationQuanquan Gu, Jie Zhou. 159-168 [doi]
• Accurate Estimation of the Degree Distribution of Private NetworksMichael Hay, Chao Li, Gerome Miklau, David Jensen. 169-178 [doi]
• A Linear-Time Graph KernelShohei Hido, Hisashi Kashima. 179-188 [doi]
• GSML: A Unified Framework for Sparse Metric LearningKaizhu Huang, Yiming Ying, Colin Campbell. 189-198 [doi]
• GRAPE: A Graph-Based Framework for Disambiguating People Appearances in Web SearchLili Jiang, Jianyong Wang, Ning An, Shengyuan Wang, Jian Zhan, Lian Li. 199-208 [doi]
• A Tree-Based Framework for Difference SummarizationRuoming Jin, Yuri Breitbart, Rong Li. 209-218 [doi]
• TrBagg: A Simple Transfer Learning Method and its Application to Personalization in Collaborative TaggingToshihiro Kamishima, Masahiro Hamasaki, Shotaro Akaho. 219-228 [doi]
• PEGASUS: A Peta-Scale Graph Mining SystemU. Kang, Charalampos E. Tsourakakis, Christos Faloutsos. 229-238 [doi]
• Efficient Discovery of Frequent Correlated Subgraph PairsYiping Ke, James Cheng, Jeffrey Xu Yu. 239-248 [doi]
• Self-Adaptive Anytime Stream ClusteringPhilipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl. 249-258 [doi]
• Improving SVM Classification on Imbalanced Data Sets in Distance SpacesSuzan Koknar-Tezel, Longin Jan Latecki. 259-267 [doi]
• CoCoST: A Computational Cost Efficient ClassifierLiyun Li, Umut Topkara, Baris Coskun, Nasir D. Memon. 268-277 [doi]
• Semi-naive Exploitation of One-Dependence EstimatorsNan Li, Yang Yu, Zhi-Hua Zhou. 278-287 [doi]
• A Framework for Computing the Privacy Scores of Users in Online Social NetworksKun Liu, Evimaria Terzi. 288-297 [doi]
• Least Square Incremental Linear Discriminant AnalysisLi-Ping Liu, Yuan Jiang, Zhi-Hua Zhou. 298-306 [doi]
• Unified Solution to Nonnegative Data Factorization ProblemsXiaobai Liu, Shuicheng Yan, Jun Yan, Hai Jin. 307-316 [doi]
• Extended Boolean Matrix DecompositionHaibing Lu, Jaideep Vaidya, Vijayalakshmi Atluri, Yuan Hong. 317-326 [doi]
• Active Learning with Adaptive Heterogeneous EnsemblesZhenyu Lu, Xindong Wu, Josh Bongard. 327-336 [doi]
• Non-negative Laplacian EmbeddingDijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li. 337-346 [doi]
• Scalable Algorithms for Distribution SearchYasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshikawa. 347-356 [doi]
• A Deep Non-linear Feature Mapping for Large-Margin kNN ClassificationMartin Renqiang Min, David A. Stanley, Zineng Yuan, Anthony J. Bonner, Zhaolei Zhang. 357-366 [doi]
• Finding Time Series Motifs in Disk-Resident DataAbdullah Mueen, Eamonn J. Keogh, Nima Bigdely Shamlo. 367-376 [doi]
• Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional DataEmmanuel Müller, Ira Assent, Stephan Günnemann, Ralph Krieger, Thomas Seidl. 377-386 [doi]
• Stacked Gaussian Process LearningMarion Neumann, Kristian Kersting, Zhao Xu, Daniel Schulz. 387-396 [doi]
• Evaluating Statistical Tests for Within-Network Classifiers of Relational DataJennifer Neville, Brian Gallagher, Tina Eliassi-Rad. 397-406 [doi]
• Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train AnalysisDebprakash Patnaik, Srivatsan Laxman, Naren Ramakrishnan. 407-416 [doi]
• Clustering Trajectories of Moving Objects in an Uncertain WorldNikos Pelekis, Ioannis Kopanakis, Evangelos E. Kotsifakos, Elias Frentzos, Yannis Theodoridis. 417-427 [doi]
• Semi-Supervised Sequence Labeling with Self-Learned FeaturesYanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko Sadamasa, Koray Kavukcuoglu, Jason Weston. 428-437 [doi]
• Semi-Markov kMeans Clustering and Activity Recognition from Body-Worn SensorsMatthew W. Robards, Peter Sunehag. 438-446 [doi]
• A Sparsification Approach for Temporal Graphical Model DecompositionNing Ruan, Ruoming Jin, Victor E. Lee, Kun Huang. 447-456 [doi]
• Resolving Identity Uncertainty with Learned Random WalksTed Sandler, Lyle H. Ungar, Koby Crammer. 457-465 [doi]
• Discriminative Mixed-Membership ModelsHanhuai Shan, Arindam Banerjee, Nikunj C. Oza. 466-475 [doi]
• Argumentation Based Constraint AcquisitionKostyantyn M. Shchekotykhin, Gerhard Friedrich. 476-482 [doi]
• Extending Semi-supervised Learning Methods for Inductive Transfer LearningYuan Shi, Zhen-zhong Lan, Wei Liu, Wei Bi. 483-492 [doi]
• iTopicModel: Information Network-Integrated Topic ModelingYizhou Sun, Jiawei Han, Jing Gao, Yintao Yu. 493-502 [doi]
• Uncoverning Groups via Heterogeneous Interaction AnalysisLei Tang, Xufei Wang, Huan Liu. 503-512 [doi]
• Significance of Episodes Based on Minimal WindowsNikolaj Tatti. 513-522 [doi]
• Convex Non-negative Matrix Factorization in the WildChristian Thurau, Kristian Kersting, Christian Bauckhage. 523-532 [doi]
• On K-Means Cluster Preservation Using Quantization SchemesDeepak S. Turaga, Michail Vlachos, Olivier Verscheure. 533-542 [doi]
• Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye ImagingIgor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal Slovin. 543-551 [doi]
• Extracting Output Metadata from Scientific Deep Web Data SourcesFan Wang, Gagan Agrawal. 552-561 [doi]
• Semi-supervised Multi-task Learning with Task RegularizationsFei Wang, Xin Wang, Tao Li. 562-568 [doi]
• Fast Online Training of Ramp Loss Support Vector MachinesZhuang Wang, Slobodan Vucetic. 569-577 [doi]
• Mining Peculiarity Groups in Day-by-Day Behavioral DatasetsYun Xiong, Yangyong Zhu. 578-587 [doi]
• Online System Problem Detection by Mining Patterns of Console LogsWei Xu, Ling Huang, Armando Fox, David Patterson, Michael I. Jordan. 588-597 [doi]
• Synthesizing Novel Dimension Reduction Algorithms in Matrix Trace Oriented Optimization FrameworkJun Yan, Ning Liu, Shuicheng Yan, Qiang Yang, Zheng Chen. 598-606 [doi]
• Peculiarity Analysis for ClassificationsJian Yang, Ning Zhong, Yiyu Yao, Jue Wang. 607-616 [doi]
• Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly DetectionXiao Yu, Lu-An Tang, Jiawei Han. 617-626 [doi]
• Mining Data Streams with Labeled and Unlabeled Training ExamplesPeng Zhang, Xingquan Zhu, Li Guo. 627-636 [doi]
• Maximum Margin Clustering with Multivariate Loss FunctionBin Zhao, James Tin-Yau Kwok, Changshui Zhang. 637-646 [doi]
• Efficient Discovery of Confounders in Large Data SetsWenjun Zhou, Hui Xiong. 647-656 [doi]
• Vague One-Class Learning for Data StreamsXingquan Zhu, Xindong Wu, Chengqi Zhang. 657-666 [doi]
• Inverse Time Dependency in Convex Regularized LearningZeyuan Allen Zhu, Weizhu Chen, Chenguang Zhu, Gang Wang, Haixun Wang, Zheng Chen. 667-676 [doi]
• P-packSVM: Parallel Primal grAdient desCent Kernel SVMZeyuan Allen Zhu, Weizhu Chen, Gang Wang, Chenguang Zhu, Zheng Chen. 677-686 [doi]
• An L-infinity Norm Visual ClassifierAnushka Anand, Leland Wilkinson, Dang Nhon Tuan. 687-692 [doi]
• Outlier Detection Using Inductive Logic ProgrammingFabrizio Angiulli, Fabio Fassetti. 693-698 [doi]
• Joint Emotion-Topic Modeling for Social Affective Text MiningShenghua Bao, Shengliang Xu, Li Zhang, Rong Yan, Zhong Su, Dingyi Han, Yong Yu. 699-704 [doi]
• Algorithms for Large, Sparse Network Alignment ProblemsMohsen Bayati, Margot Gerritsen, David Gleich, Amin Saberi, Ying Wang. 705-710 [doi]
• Dirichlet Mixture Allocation for Multiclass Document Collections ModelingWei Bian, Dacheng Tao. 711-715 [doi]
• SLIDER: Mining Correlated Motifs in Protein-Protein Interaction NetworksPeter Boyen, Frank Neven, Dries Van Dyck, Aalt-Jan van Dijk, Roeland C. H. J. van Ham. 716-721 [doi]
• Effective Anomaly Detection in Sensor Networks Data StreamsBudhaditya Saha, Duc-Son Pham, Mihai Lazarescu, Svetha Venkatesh. 722-727 [doi]
• Hierarchical Bayesian Models for Collaborative Tagging SystemsMarkus Bundschus, Shipeng Yu, Volker Tresp, Achim Rettinger, Mathäus Dejori, Hans-Peter Kriegel. 728-733 [doi]
• Efficient Algorithm for Computing Link-Based Similarity in Real World NetworksYuanzhe Cai, Gao Cong, Xu Jia, Hongyan Liu, Jun He, Jiaheng Lu, Xiaoyong Du. 734-739 [doi]
• Fine-Grain Perturbation for Privacy Preserving Data PublishingRhonda Chaytor, Ke Wang, Patricia Brantingham. 740-745 [doi]
• Accelerated Gradient Method for Multi-task Sparse Learning ProblemXi Chen, Weike Pan, James T. Kwok, Jaime G. Carbonell. 746-751 [doi]
• CoFKM: A Centralized Method for Multiple-View ClusteringGuillaume Cleuziou, Matthieu Exbrayat, Lionel Martin, Jacques-Henri Sublemontier. 752-757 [doi]
• Active Selection of Sensor Sites in Remote Sensing ApplicationsDebasish Das, Zoran Obradovic, Slobodan Vucetic. 758-763 [doi]
• Large Scale Relation Acquisition Using Class Dependent PatternsStijn De Saeger, Kentaro Torisawa, Jun ichi Kazama, Kow Kuroda, Masaki Murata. 764-769 [doi]
• Finding Maximal Fully-Correlated Itemsets in Large DatabasesLian Duan, William Nick Street. 770-775 [doi]
• Bayesian Overlapping Subspace ClusteringQiang Fu, Arindam Banerjee. 776-781 [doi]
• Unsupervised Relation Extraction by Massive ClusteringEdgar González, Jordi Turmo. 782-787 [doi]
• Regression Learning Vector QuantizationMihajlo Grbovic, Slobodan Vucetic. 788-793 [doi]
• Projective Clustering EnsemblesFrancesco Gullo, Carlotta Domeniconi, Andrea Tagarelli. 794-799 [doi]
• Knowledge Discovery from Citation NetworksZhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Yihong Gong. 800-805 [doi]
• An Effective Approach to Inverse Frequent Set MiningAntonella Guzzo, Domenico Saccà, Edoardo Serra. 806-811 [doi]
• Parallel PathFinder Algorithms for Mining Structures from GraphsSamson Hauguel, ChengXiang Zhai, Jiawei Han. 812-817 [doi]
• A Bootstrap Approach to Eigenvalue CorrectionAnne Hendrikse, Luuk J. Spreeuwers, Raymond N. J. Veldhuis. 818-823 [doi]
• Modeling Syntactic Structures of Topics with a Nested HMM-LDAJing Jiang. 824-829 [doi]
• Redistricting Using Heuristic-Based Polygonal ClusteringDeepti Joshi, Leen-Kiat Soh, Ashok Samal. 830-835 [doi]
• A Walk from 2-Norm SVM to 1-Norm SVMJussi Kujala, Timo Aho, Tapio Elomaa. 836-841 [doi]
• Semi-supervised Density-Based ClusteringLevi Lelis, Jörg Sander. 842-847 [doi]
• VIF Regression: A Fast Regression Algorithm for Large DataDongyu Lin, Dean P. Foster. 848-853 [doi]
• Sparse Norm-Regularized Reconstructive Coefficients LearningBin Liu, Shuo Chen, Mingjie Qian, Changshui Zhang. 854-859 [doi]
• A Contrast Pattern Based Clustering Quality Index for Categorical DataQingbao Liu, Guozhu Dong. 860-865 [doi]
• Multi-document Summarization by Information DistanceChong Long, Minlie Huang, Xiaoyan Zhu, Ming Li. 866-871 [doi]
• On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule MiningIan Molloy, Ninghui Li, Tiancheng Li. 872-877 [doi]
• Promoting Total Efficiency in Text Clustering via Iterative and Interactive Metric LearningMichinari Momma, Satoshi Morinaga, Daisuke Komura. 878-883 [doi]
• A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of ClustersFabrice Muhlenbach, Stéphane Lallich. 884-889 [doi]
• Automatically Extracting Dialog Models from Conversation TranscriptsSumit Negi, Sachindra Joshi, Anup Chalamalla, L. Venkata Subramaniam. 890-895 [doi]
• To Trust or Not to Trust? Predicting Online Trusts Using Trust Antecedent FrameworkViet-An Nguyen, Ee-Peng Lim, Jing Jiang, Aixin Sun. 896-901 [doi]
• Analysis of Subsequence Time-Series Clustering Based on Moving AverageMiho Ohsaki, Masakazu Nakase, Shigeru Katagiri. 902-907 [doi]
• Permutation Tests for Studying Classifier PerformanceMarkus Ojala, Gemma C. Garriga. 908-913 [doi]
• Interaction-Based Clustering of Multivariate Time SeriesClaudia Plant, Afra M. Wohlschlager, Andrew Zherdin. 914-919 [doi]
• PUB: A Class Description Technique Based on Partial Coverage of SubspaceArdian Kristanto Poernomo, Vivekanand Gopalkrishnan. 920-925 [doi]
• Online and Batch Learning of Generalized Cosine SimilaritiesAli Mustafa Qamar, Éric Gaussier. 926-931 [doi]
• Discovering Organizational Structure in Dynamic Social NetworkJiangtao Qiu, Zhangxi Lin, Changjie Tang, Shaojie Qiao. 932-937 [doi]
• Kernel Conditional Quantile Estimation via Reduction RevisitedNovi Quadrianto, Kristian Kersting, Mark D. Reid, Tibério S. Caetano, Wray L. Buntine. 938-943 [doi]
• Naive Bayes Classification of Uncertain DataJiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, Reynold Cheng, David Wai-Lok Cheung. 944-949 [doi]
• Constraint-Based Pattern Mining in Dynamic GraphsCéline Robardet. 950-955 [doi]
• Global Slope Change Synopses for Measurement MapsFrank Rosenthal, Ulrike Fischer, Peter Benjamin Volk, Wolfgang Lehner. 956-961 [doi]
• Aspect Guided Text Categorization with Unobserved LabelsDan Roth, Yuancheng Tu. 962-967 [doi]
• A Fully Automated Method for Discovering Community Structures in High Dimensional DataJianhua Ruan. 968-973 [doi]
• Hierarchical Probabilistic Segmentation of Discrete EventsGuy Shani, Christopher Meek, Asela Gunawardana. 974-979 [doi]
• Topic Modeling for Sequences of Temporal ActivitiesZhiyong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yidong Shen. 980-985 [doi]
• Combining Super-Structuring and Abstraction on Sequence ClassificationAdrian Silvescu, Cornelia Caragea, Vasant Honavar. 986-991 [doi]
• A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein FunctionsCarlos Nascimento Silla Jr., Alex Alves Freitas. 992-997 [doi]
• Spatio-temporal Energy Based Gait RecognitionShamsher Singh, K. K. Biswas. 998-1003 [doi]
• Feature Selection in the Tensor Product Feature SpaceAaron M. Smalter, Jun Huan, Gerald H. Lushington. 1004-1009 [doi]
• Topic Distributions over Links on WebJie Tang, Jing Zhang, Jeffrey Xu Yu, Zi Yang, Keke Cai, Rui Ma, Li Zhang, Zhong Su. 1010-1015 [doi]
• Clustering with Multiple GraphsWei Tang, Zhengdong Lu, Inderjit S. Dhillon. 1016-1021 [doi]
• Two Heads Better Than One: Metric+Active Learning and its Applications for IT Service ClassificationFei Wang, Jimeng Sun, Tao Li, Nikos Anerousis. 1022-1027 [doi]
• Maximum Margin Clustering on Data ManifoldsFei Wang, Xin Wang, Tao Li. 1028-1033 [doi]
• Discovering Contexts and Contextual Outliers Using Random Walks in GraphsXiang Wang, Ian Davidson. 1034-1039 [doi]
• Effective Criterion Functions for Efficient Agglomerative Clustering on Very Large NetworksYang Wang 0011, Mingyuan An. 1040-1045 [doi]
• Binomial Matrix Factorization for Discrete Collaborative FilteringJinlong Wu. 1046-1051 [doi]
• Bi-relational Network Analysis Using a Fast Random Walk with RestartJing Xia, Doina Caragea, William H. Hsu. 1052-1057 [doi]
• A New MCA-Based Divisive Hierarchical Algorithm for Clustering Categorical DataTengke Xiong, Shengrui Wang, André Mayers, Ernest Monga. 1058-1063 [doi]
• Non-sparse Multiple Kernel Learning for Fisher Discriminant AnalysisFei Yan, Josef Kittler, Krystian Mikolajczyk, Muhammad Atif Tahir. 1064-1069 [doi]
• Multirelational Topic ModelsJia Zeng, William K. Cheung, Chun Hung Li, Jiming Liu. 1070-1075 [doi]
• Learning Local Components to Understand Large Bayesian NetworksYifeng Zeng, Yanping Xiang, Jorge Cordero Hernandez, Yujian Lin. 1076-1081 [doi]
• RING: An Integrated Method for Frequent Representative Subgraph MiningShijie Zhang, Jiong Yang, Shirong Li. 1082-1087 [doi]
• A Cost-Effective LSH Filter for Fast Pairwise MiningGang Zhao, Yun Xiong, Longbing Cao, Dan Luo, Xuchun Su, Yangyong Zhu. 1088-1093 [doi]
• A New Kernel-Based Classification AlgorithmXiaofei Zhou, Wenhan Jiang, Yingjie Tian, Peng Zhang, Guangli Nie, Yong Shi. 1094-1099 [doi]