Table of Contents

• Preface, Message from the Conference Co-Chair Acknowledgments [doi]
• GAD: General Activity Detection for Fast Clustering on Large DataXin Jin, Sangkyum Kim, Jiawei Han, Liangliang Cao, Zhijun Yin. 2-13 [doi]
• CORE: Nonparametric Clustering of Large Numeric DatabasesAndrej Taliun, Michael H. Böhlen, Arturas Mazeika. 14-25 [doi]
• Constraint-Based Subspace ClusteringÉlisa Fromont, Adriana Prado, Céline Robardet. 26-37 [doi]
• Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise RelationsFei Wang, Chris H. Q. Ding, Tao Li. 38-48 [doi]
• Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal SetsXinhai Liu, Shi Yu, Yves Moreau, Bart De Moor, Wolfgang Glänzel, Frizo A. L. Janssens. 49-60 [doi]
• Event Discovery in Time SeriesDan Preston, Pavlos Protopapas, Carla E. Brodley. 61-72 [doi]
• FuncICA for Time Series Pattern DiscoveryNishant Mehta, Alexander Gray. 73-84 [doi]
• Autocannibalistic and Anyspace Indexing Algorithms with Application to Sensor Data MiningLexiang Ye, Xiaoyue Wang, Eamonn J. Keogh, Agenor Mafra-Neto. 85-96 [doi]
• Proximity-Based Anomaly Detection Using Sparse Structure LearningTsuyoshi Idé, Aurelie C. Lozano, Naoki Abe, Yan Liu. 97-108 [doi]
• Optimal Distance Bounds on Time-Series DataMichail Vlachos, Suleyman S. Kozat, Philip S. Yu. 109-120 [doi]
• Application of Bayesian Partition Models in Warranty Data AnalysisMarkus Müller, Christoph Schlieder, Axel Blumenstock. 121-132 [doi]
• Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif DiscoveryMartin Renqiang Min, Rui Kuang, Anthony J. Bonner, Zhaolei Zhang. 133-144 [doi]
• Outlier Detection with Globally Optimal Exemplar-Based GMMXingwei Yang, Longin Jan Latecki, Dragoljub Pokrajac. 145-154 [doi]
• Prior-Free Rare Category DetectionJingrui He, Jaime G. Carbonell. 155-163 [doi]
• A Family of Large Margin Linear Classifiers and Its Application in Dynamic EnvironmentsJianqiang Shen, Thomas G. Dietterich. 164-172 [doi]
• DensEst: Density Estimation for Data Mining in High Dimensional SpacesEmmanuel Müller, Ira Assent, Ralph Krieger, Stephan Günnemann, Thomas Seidl. 173-184 [doi]
• A Framework for Exploring Categorical DataVarun Chandola, Shyam Boriah, Vipin Kumar. 185-196 [doi]
• Discovering Substantial Distinctions among Incremental Bi-ClustersFaris Alqadah, Raj Bhatnagar. 197-208 [doi]
• Bayesian Cluster EnsemblesHongjun Wang, Hanhuai Shan, Arindam Banerjee. 209-220 [doi]
• Agglomerative Mean-Shift Clustering via Query Set CompressionXiaotong Yuan, Bao-Gang Hu, Ran He. 221-232 [doi]
• Adaptive Concept Drift DetectionAnton Dries, Ulrich Rückert. 233-244 [doi]
• Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring AlgorithmsKamalika Das, Kanishka Bhaduri, Sugandha Arora, Wesley Griffin, Kirk D. Borne, Chris Giannella, Hillol Kargupta. 245-156 [doi]
• Positive Unlabeled Learning for Data Stream ClassificationXiao-Li Li, Philip S. Yu, Bing Liu, See-Kiong Ng. 257-268 [doi]
• Time-Decayed Correlated Aggregates over Data StreamsGraham Cormode, Srikanta Tirthapura, Bojian Xu. 269-280 [doi]
• Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label CorrespondenceOksana Yakhnenko, Vasant Honavar. 281-294 [doi]
• A Bayesian Approach to Graphy Regression with Relevant Subgraph SelectionSilvia Chiappa, Hiroto Saigo, Koji Tsuda. 295-304 [doi]
• A Hybrid Data Mining Metaheuristic for the p-Median ProblemAlexandre Plastino, Erick R. Fonseca, Richard Fuchshuber, Simone L. Martins, Alex Alves Freitas, Martino Luis, Saïd Salhi. 305-316 [doi]
• A New Constraint for Mining Sets in SequencesBoris Cule, Bart Goethals, Céline Robardet. 317-328 [doi]
• A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule LearningFrederik Janssen, Johannes Fürnkranz. 329-340 [doi]
• A Semi-Supervised Framework for Feature Mapping and Multiclass ClassificationBo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong. 341-352 [doi]
• Aligned Graph Classification with Regularized Logistic RegressionBrian Quanz, Jun Huan. 353-364 [doi]
• An Entity Based Model for Coreference ResolutionMichael L. Wick, Aron Culotta, Khashayar Rohanimanesh, Andrew McCallum. 365-376 [doi]
• Analyses for Service Interaction Networks with Applications to Service DeliveryS. Kameshwaran, Sameep Mehta, Vinayaka Pandit, Gyana Parija, Sudhanshu Singh, N. Viswanadham. 377-388 [doi]
• Change-Point Detection in Time-Series Data by Direct Density-Ratio EstimationYoshinobu Kawahara, Masashi Sugiyama. 389-400 [doi]
• Context Aware Trace Clustering: Towards Improving Process Mining ResultsR. P. Jagadeesh Chandra Bose, Wil M. P. van der Aalst. 401-412 [doi]
• Detection and Characterization of Anomalies in Multivariate Time SeriesHaibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster. 413-424 [doi]
• Discovery of Geospatial Discriminating Patterns from Remote Sensing DatasetsWei Ding, Tomasz F. Stepinski, Josue Salazar. 425-436 [doi]
• Diversity-Based Weighting Schemes for Clustering EnsemblesFrancesco Gullo, Andrea Tagarelli, Sergio Greco. 437-448 [doi]
• Divide and Conquer Strategies for Effective Information RetrievalJie Chen, Yousef Saad. 449-460 [doi]
• Speeding Up Secure Computations via Embedded CachingK. Zhai, W. K. Ng, A. R. Herianto, S. Han. 461-472 [doi]
• Exact Discovery of Time Series MotifsAbdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover. 473-484 [doi]
• Exploiting Semantic Constraints for Estimating Supersenses with CRFsGerhard Paaß, Frank Reichartz. 485-496 [doi]
• Feature Weighted SVMs Using Receiver Operating CharacteristicsShaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan, James Bailey, Kotagiri Ramamohanarao. 497-508 [doi]
• FEDRA: A Fast and Efficient Dimensionality Reduction AlgorithmPanagis Magdalinos, Christos Doulkeridis, Michalis Vazirgiannis. 509-520 [doi]
• Finding Representative Association Rules from Large Rule CollectionsWarren L. Davis IV, Peter Schwarz, Evimaria Terzi. 521-532 [doi]
• FutureRank: Ranking Scientific Articles by Predicting their Future PageRankHassan Sayyadi, Lise Getoor. 533-544 [doi]
• Highlighting Diverse Concepts in DocumentsKun Liu, Evimaria Terzi, Tyrone Grandison. 545-556 [doi]
• Identifying Information-Rich Subspace Trends in High-Dimensional DataSnehal Pokharkar, Chandan K. Reddy. 557-568 [doi]
• Low-Entropy Set SelectionHannes Heikinheimo, Jilles Vreeken, Arno Siebes, Heikki Mannila. 569-580 [doi]
• Measuring Discrimination in Socially-Sensitive Decision RecordsDino Pedreschi, Salvatore Ruggieri, Franco Turini. 581-592 [doi]
• Mining Cohesive Patterns from Graphs with Feature VectorsFlavia Moser, Recep Colak, Arash Rafiey, Martin Ester. 593-604 [doi]
• Mining Complex Spatio-Temporal Sequence PatternsFlorian Verhein. 605-616 [doi]
• Mining for Surprise Events Within Text StreamsPaul Whitney, Dave Engel, Nick Cramer. 617-627 [doi]
• Multi-field Correlated Topic ModelingKonstantin Salomatin, Yiming Yang, Abhimanyu Lad. 628-637 [doi]
• Multiple Kernel ClusteringBin Zhao, James T. Kwok, Changshui Zhang. 638-649 [doi]
• MUSK: Uniform Sampling of k Maximal PatternsMohammad Al Hasan, Mohammed Javeed Zaki. 650-661 [doi]
• Noise Robust Classification Based on Spread SpectrumJörn David. 662-672 [doi]
• Non-negative Matrix Factorization, Convexity and IsometryNikolaos Vasiloglou, Alexander G. Gray, David V. Anderson. 673-684 [doi]
• Non-parametric Information-Theoretic Measures of One-Dimensional Distribution Functions from Continuous Time SeriesPaolo D Alberto, Ali Dasdan. 685-696 [doi]
• On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-WatchBarna Saha, Lise Getoor. 697-708 [doi]
• On Randomness Measures for Social NetworksXiaowei Ying, Xintao Wu. 709-720 [doi]
• On Segment-Based Stream Modeling and Its ApplicationsCharu C. Aggarwal. 721-732 [doi]
• On the Comparison of Relative Clustering Validity CriteriaLucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka. 733-744 [doi]
• Parallel Pairwise ClusteringElad Yom-Tov, Noam Slonim. 745-755 [doi]
• PICC Counting: Who Needs Joins When You Can Propagate Efficiently?Jong Wook Kim, K. Selçuk Candan. 756-767 [doi]
• Providing Privacy through Plausibly Deniable SearchMummoorthy Murugesan, Chris Clifton. 768-779 [doi]
• Randomization Techniques for GraphsSami Hanhijärvi, Gemma C. Garriga, Kai Puolamäki. 780-791 [doi]
• Semi-supervised Learning by Sparse RepresentationShuicheng Yan, Huan Wang. 792-801 [doi]
• ShatterPlots: Fast Tools for Mining Large GraphsAna Paula Appel, Deepayan Chakrabarti, Christos Faloutsos, Ravi Kumar, Jure Leskovec, Andrew Tomkins. 802-813 [doi]
• Spatially Cost-Sensitive Active LearningAlexander Liu, Goo Jun, Joydeep Ghosh. 814-825 [doi]
• Structure and Dynamics of Research Collaboration in Computer ScienceChristian Bird, Earl Barr, Andre Nash. 826-837 [doi]
• Text Categorization with All Substring FeaturesDaisuke Okanohara, Jun-ichi Tsujii. 838-846 [doi]
• The Set Classification Problem and Solution MethodsXia Ning, George Karypis. 847-858 [doi]
• Topic Evolution in a Stream of DocumentsAndre Gohr, Alexander Hinneburg, Rene Schult, Myra Spiliopoulou. 859-872 [doi]
• Tracking User Mobility to Detect Suspicious BehaviorGaurav Tandon, Philip K. Chan. 871-883 [doi]
• Toward Optimal Ordering of Prediction TasksAbhimanyu Lad, Yiming Yang, Rayid Ghani, Bryan Kisiel. 884-893 [doi]
• Hierarchical Linear Discriminant Analysis for BeamformingJaegul Choo, Barry L. Drake, Haesun Park. 894-905 [doi]
• Twin Vector Machines for Online Learning on a BudgetZhuang Wang, Slobodan Vucetic. 906-917 [doi]
• The Metric Dilemma: Competence-Conscious Associative ClassificationAdriano Veloso, Mohammed Javeed Zaki, Wagner Meira Jr., Marcos André Gonçalves. 918-929 [doi]
• AMORI: A Metric-Based One Rule InducerNiklas Lavesson, Paul Davidsson. 930-941 [doi]
• Identifying Unsafe Routes for Network-Based Trajectory PrivacyAris Gkoulalas-Divanis, Vassilios S. Verykios, Mohamed F. Mokbel. 942-953 [doi]
• Privacy Preservation in Social Networks with Sensitive Edge WeightsLian Liu, Jie Wang, Jinze Liu, Jun Zhang. 954-965 [doi]
• Graph Generation with Prescribed Feature ConstraintsXiaowei Ying, Xintao Wu. 966-977 [doi]
• Detecting Communities in Social Networks Using Max-Min ModularityJiyang Chen, Osmar R. Zaïane, Randy Goebel. 978-989 [doi]
• A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social NetworksTianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin. 990-1001 [doi]
• Efficient Discovery of Interesting Patterns Based on Strong ClosednessMario Boley, Tamás Horváth, Stefan Wrobel. 1002-1013 [doi]
• Efficient Computation of Partial-Support for Mining Interesting ItemsetsArdian Kristanto Poernomo, Vivekanand Gopalkrishnan. 1014-1025 [doi]
• Grammar MiningSiegfried Nijssen, Luc De Raedt. 1026-1037 [doi]
• Top-k Correlative Graph MiningYiping Ke, James Cheng, Jeffrey Xu Yu. 1038-1049 [doi]
• High Performance Parallel/Distributed Biclustering Using Barycenter HeuristicArifa Nisar, Waseem Ahmad, Wei-keng Liao, Alok N. Choudhary. 1050-1062 [doi]
• MultiVis: Content-Based Social Network Exploration through Multi-way Visual AnalysisJimeng Sun, Spiros Papadimitriou, Ching-Yung Lin, Nan Cao, Shixia Liu, Weihong Qian. 1063-1074 [doi]
• Near-optimal Supervised Feature Selection among Frequent SubgraphsMarisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt. 1075-1086 [doi]
• Polynomial-Delay and Polynomial-Space Algorithms for Mining Closed Sequences, Graphs, and Pictures in Accessible Set SystemsHiroki Arimura, Takeaki Uno. 1087-1098 [doi]
• Link Propagation: A Fast Semi-supervised Learning Algorithm for Link PredictionHisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda. 1099-1110 [doi]
• Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis ApproachYi Han, Bin Zhou 0002, Jian Pei, Yan Jia. 1111-1122 [doi]
• Topic Cube: Topic Modeling for OLAP on Multidimensional Text DatabasesDuo Zhang, ChengXiang Zhai, Jiawei Han. 1123-1134 [doi]
• Local Relevance Weighted Maximum Margin Criterion for Text ClassificationQuanquan Gu, Jie Zhou. 1135-1146 [doi]
• Multi-topic Based Query-Oriented SummarizationJie Tang, Limin Yao, Dewei Chen. 1147-1158 [doi]
• Straightforward Feature Selection for Scalable Latent Semantic IndexingJun Yan, Shuicheng Yan, Ning Liu, Zheng Chen. 1159-1170 [doi]
• Parallel Large Scale Feature Selection for Logistic RegressionSameer Singh, Jeremy Kubica, Scott Larsen, Daria Sorokina. 1171-1182 [doi]
• Travel-Time Prediction Using Gaussian Process Regression: A Trajectory-Based ApproachTsuyoshi Idé, Sei Kato. 1183-1194 [doi]
• Discretized Spatio-Temporal Scan WindowSeyed H. Mohammadi, Vandana Pursnani Janeja, Aryya Gangopadhyay. 1195-1206 [doi]
• Finding Links and Initiators: A Graph-Reconstruction ProblemHeikki Mannila, Evimaria Terzi. 1207-1217 [doi]
• Efficient Multiplicative Updates for Support Vector MachinesVamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vincent D. Calhoun, Terran Lane. 1218-1229 [doi]
• Efficient Active Learning with BoostingZheng Wang, Yangqiu Song, Changshui Zha. 1230-1241 [doi]