Table of Contents

• How Much Noise Is Too Much: A Study in Automatic Text ClassificationSumeet Agarwal, Shantanu Godbole, Diwakar Punjani, Shourya Roy. 3-12 [doi]
• Clustering Needles in a Haystack: An Information Theoretic Analysis of Minority and Outlier DetectionShin Ando. 13-22 [doi]
• Efficient Data Sampling in Heterogeneous Peer-to-Peer NetworksBenjamin Arai, Song Lin, Dimitrios Gunopulos. 23-32 [doi]
• Temporal Analysis of Semantic Graphs Using ASALSANBrett W. Bader, Richard A. Harshman, Tamara G. Kolda. 33-42 [doi]
• Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation WeightsRobert M. Bell, Yehuda Koren. 43-52 [doi]
• Rule Cubes for Causal InvestigationsAxel Blumenstock, Franz Schweiggert, Markus Müller. 53-62 [doi]
• The Chosen Few: On Identifying Valuable PatternsBjörn Bringmann, Albrecht Zimmermann. 63-72 [doi]
• Spectral Regression: A Unified Approach for Sparse Subspace LearningDeng Cai, Xiaofei He, Jiawei Han. 73-82 [doi]
• Mining Frequent Itemsets in a StreamToon Calders, Nele Dexters, Bart Goethals. 83-92 [doi]
• A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified ModelShing-Kit Chan, Wai Lam, Xiaofeng Yu. 93-102 [doi]
• Incorporating User Provided Constraints into Document ClusteringYanhua Chen, Manjeet Rege, Ming Dong, Jing Hua. 103-112 [doi]
• Depth-Based Novelty Detection and Its Application to Taxonomic ResearchYixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang Peng. 113-122 [doi]
• Detecting Fractures in Classifier PerformanceDavid A. Cieslak, Nitesh V. Chawla. 123-132 [doi]
• Non-redundant Multi-view Clustering via OrthogonalizationYing Cui, Xiaoli Z. Fern, Jennifer G. Dy. 133-142 [doi]
• On Appropriate Assumptions to Mine Data Streams: Analysis and PracticeJing Gao, Wei Fan, Jiawei Han. 143-152 [doi]
• ORIGAMI: Mining Representative Orthogonal Graph PatternsMohammad Al Hasan, Vineet Chaoji, Saeed Salem, Jérémy Besson, Mohammed Javeed Zaki. 153-162 [doi]
• Efficient Algorithms for Mining Significant Substructures in Graphs with Quality GuaranteesHuahai He, Ambuj K. Singh. 163-172 [doi]
• Dynamic Micro Targeting: Fitness-Based Approach to Predicting Individual PreferencesTianyi Jiang, Alexander Tuzhilin. 173-182 [doi]
• Data Discretization UnificationRuoming Jin, Yuri Breitbart, Chibuike Muoh. 183-192 [doi]
• Improving Knowledge Discovery in Document Collections through Combining Text Retrieval and Link Analysis TechniquesWei Jin, Rohini K. Srihari, Hung Hay Ho, Xin Wu. 193-202 [doi]
• Finding Cohesive Clusters for Analyzing Knowledge CommunitiesVasileios Kandylas, S. Phineas Upham, Lyle H. Ungar. 203-212 [doi]
• Succinct Matrix Approximation and Efficient k-NN ClassificationRong Liu, Yong Shi. 213-222 [doi]
• A Pairwise Covariance-Preserving Projection Method for Dimension ReductionXiaoming Liu, Zhaohui Wang, Zhilin Feng, Jinshan Tang. 223-231 [doi]
• Community Learning by Graph ApproximationBo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip S. Yu. 232-241 [doi]
• Parallel Mining of Frequent Closed Patterns: Harnessing Modern Computer ArchitecturesClaudio Lucchese, Salvatore Orlando, Raffaele Perego. 242-251 [doi]
• Supervised Learning by Training on Aggregate OutputsDavid R. Musicant, Janara M. Christensen, Jamie F. Olson. 252-261 [doi]
• Sample Selection for Maximal DiversityFeng Pan, Adam Roberts, Leonard McMillan, David Threadgill, Wei Wang 0010. 262-271 [doi]
• Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional DatabasesArdian Kristanto Poernomo, Vivekanand Gopalkrishnan. 272-281 [doi]
• Lightweight Distributed Trust PropagationDaniele Quercia, Stephen Hailes, Licia Capra. 282-291 [doi]
• Social Network Extraction of Academic ResearchersJie Tang, Duo Zhang, Limin Yao. 292-301 [doi]
• General Averaged Divergence AnalysisDacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank. 302-311 [doi]
• Maximum Entropy Based Significance of ItemsetsNikolaj Tatti. 312-321 [doi]
• Local Probabilistic Models for Link PredictionChao Wang, Venu Satuluri, Srinivasan Parthasarathy. 322-331 [doi]
• Improving Text Classification by Using Encyclopedia KnowledgePu Wang, Jian Hu, Hua-Jun Zeng, Lijun Chen 0002, Zheng Chen. 332-341 [doi]
• Language-Independent Set Expansion of Named Entities Using the WebRichard C. Wang, William W. Cohen. 342-350 [doi]
• Structure-Based Statistical Features and Multivariate Time Series ClusteringXiaozhe Wang, Anthony Wirth, Liang Wang. 351-360 [doi]
• A Generalization of Proximity Functions for K-MeansJunjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou. 361-370 [doi]
• Multilevel Belief Propagation for Fast Inference on Markov Random FieldsLiang Xiong, Fei Wang, Changshui Zhang. 371-380 [doi]
• Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized DatasetsDragomir Yankov, Eamonn J. Keogh, Umaa Rebbapragada. 381-390 [doi]
• Binary Matrix Factorization with ApplicationsZhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xiangsun Zhang. 391-400 [doi]
• A Semantic Kernel for Semi-structured DocumentSSujeevan Aseervatham, Emmanuel Viennet, Younès Bennani. 403-408 [doi]
• DUSC: Dimensionality Unbiased Subspace ClusteringIra Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl. 409-414 [doi]
• Finding Predictive Runs with LAPSSuhrid Balakrishnan, David Madigan. 415-420 [doi]
• Latent Dirichlet Conditional Naive-Bayes ModelsArindam Banerjee, Hanhuai Shan. 421-426 [doi]
• Efficient Kernel Discriminant Analysis via Spectral RegressionDeng Cai, Xiaofei He, Jiawei Han. 427-432 [doi]
• Zonal Co-location Pattern Discovery with Dynamic ParametersMete Celik, James M. Kang, Shashi Shekhar. 433-438 [doi]
• Predicting Blogging Behavior Using Temporal and Social NetworksBi Chen, Qiankun Zhao, Bingjun Sun, Prasenjit Mitra. 439-444 [doi]
• gApprox: Mining Frequent Approximate Patterns from a Massive NetworkChen Chen, Xifeng Yan, Feida Zhu, Jiawei Han. 445-450 [doi]
• Document Transformation for Multi-label Feature Selection in Text CategorizationWeizhu Chen, Jun Yan, Benyu Zhang, Zheng Chen, Qiang Yang. 451-456 [doi]
• Recommendation via Query Centered Random Walk on K-Partite GraphHaibin Cheng, Pang-Ning Tan, Jon Sticklen, William F. Punch. 457-462 [doi]
• Bandit-Based Algorithms for Budgeted LearningKun Deng, Chris Bourke, Stephen D. Scott, Julie Sunderman, Yaling Zheng. 463-468 [doi]
• Extracting Product Comparisons from Discussion BoardsRonen Feldman, Moshe Fresko, Jacob Goldenberg, Oded Netzer, Lyle H. Ungar. 469-474 [doi]
• Mining Interpretable Human Strategies: A Case StudyXiaoli Z. Fern, Chaitanya Komireddy, Margaret M. Burnett. 475-480 [doi]
• Cross-Mining Binary and Numerical AttributesGemma C. Garriga, Hannes Heikinheimo, Jouni K. Seppänen. 481-486 [doi]
• Prism: A Primal-Encoding Approach for Frequent Sequence MiningKaram Gouda, Mosab Hassaan, Mohammed Javeed Zaki. 487-492 [doi]
• Using Burstiness to Improve Clustering of Topics in News StreamsQi He, Kuiyu Chang, Ee-Peng Lim. 493-498 [doi]
• Bayesian Folding-In with Dirichlet Kernels for PLSIAlexander Hinneburg, Hans-Henning Gabriel, Andrè Gohr. 499-504 [doi]
• Confident Identification of Relevant Objects Based on Nonlinear Rescaling Method and Transductive InferenceShen-Shyang Ho, Roman A. Polyak. 505-510 [doi]
• Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text MiningHan-Shen Huang, Yu-Ming Chang, Chun-Nan Hsu. 511-516 [doi]
• Semi-supervised Document Clustering via Active Learning with Pairwise ConstraintsRuizhang Huang, Wai Lam. 517-522 [doi]
• Computing Correlation Anomaly Scores Using Stochastic Nearest NeighborsTsuyoshi Idé, Spiros Papadimitriou, Michail Vlachos. 523-528 [doi]
• On Meta-Learning Rule Learning HeuristicsFrederik Janssen, Johannes Fürnkranz. 529-534 [doi]
• Web Site Recommendation Using HTTP TrafficMing Jia, Shaozhi Ye, Xing Li, Julie A. Dickerson. 535-540 [doi]
• Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex NetworksRuoming Jin, Scott McCallen, Eivind Almaas. 541-546 [doi]
• Analyzing and Detecting Review SpamNitin Jindal, Bing Liu. 547-552 [doi]
• A Computational Approach to Style in American PoetryDavid M. Kaplan, David M. Blei. 553-558 [doi]
• Change-Point Detection in Time-Series Data Based on Subspace IdentificationYoshinobu Kawahara, Takehisa Yairi, Kazuo Machida. 559-564 [doi]
• Optimal Subsequence BijectionLongin Jan Latecki, Qiang Wang, Suzan Koknar-Tezel, Vasileios Megalooikonomou. 565-570 [doi]
• Connections between Mining Frequent Itemsets and Learning Generative ModelsSrivatsan Laxman, Prasad Naldurg, Raja Sripada, Ramarathnam Venkatesan. 571-576 [doi]
• Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix FactorizationTao Li, Chris H. Q. Ding, Michael I. Jordan. 577-582 [doi]
• Failure Prediction in IBM BlueGene/L Event LogsYinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra K. Sahoo. 583-588 [doi]
• A Text Classification Framework with a Local Feature Ranking for Learning Social NetworksMasoud Makrehchi, Mohamed S. Kamel. 589-594 [doi]
• Optimizing Frequency Queries for Data Mining ApplicationsHassan H. Malik, John R. Kender. 595-600 [doi]
• Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern DiscoveryDavid Minnen, Charles L. Isbell, Irfan A. Essa, Thad Starner. 601-606 [doi]
• Consensus ClusteringsNam Nguyen, Rich Caruana. 607-612 [doi]
• High-Speed Function ApproximationBiswanath Panda, Mirek Riedewald, Johannes Gehrke, Stephen B. Pope. 613-618 [doi]
• Weighted Additive Criterion for Linear Dimension ReductionJing Peng, Stefan A. Robila. 619-624 [doi]
• Local Word Bag Model for Text CategorizationWen Pu, Ning Liu, Shuicheng Yan, Jun Yan, Kunqing Xie, Zheng Chen. 625-630 [doi]
• Sampling for Sequential Pattern Mining: From Static Databases to Data StreamsChedy Raïssi, Pascal Poncelet. 631-636 [doi]
• Can the Content of Public News Be Used to Forecast Abnormal Stock Market Behaviour?Calum Robertson, Shlomo Geva, Rodney C. Wolff. 637-642 [doi]
• An Efficient Spectral Algorithm for Network Community Discovery and Its Applications to Biological and Social NetworksJianhua Ruan, Weixiong Zhang. 643-648 [doi]
• Exploration of Link Structure and Community-Based Node Roles in Network AnalysisJerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian. 649-654 [doi]
• A Support Vector Approach to Censored TargetsPannagadatta K. Shivaswamy, Wei Chu, Martin Jansche. 655-660 [doi]
• Understanding Discrete Classifiers with a Case Study in Gene PredictionMuhammad Subianto, Arno Siebes. 661-666 [doi]
• Statistical Learning Algorithm for Tree SimilarityAtsuhiro Takasu, Daiji Fukagawa, Tatsuya Akutsu. 667-672 [doi]
• A Novel Criterion for Onset Detection: Differential Information Redundancy with Application to Human Movement InitiationGert Van Dijck, Marc M. Van Hulle, Jo Van Vaerenbergh. 673-678 [doi]
• Using Significant, Positively Associated and Relatively Class Correlated Rules for Associative Classification of Imbalanced DatasetsFlorian Verhein, Sanjay Chawla. 679-684 [doi]
• Preserving Privacy through Data GenerationJilles Vreeken, Matthijs van Leeuwen, Arno Siebes. 685-690 [doi]
• Transitional Patterns and Their Significant MilestonesQian Wan, Aijun An. 691-696 [doi]
• Topical N-Grams: Phrase and Topic Discovery, with an Application to Information RetrievalXuerui Wang, Andrew McCallum, Xing Wei. 697-702 [doi]
• Mechanism Design for Clustering Aggregation by Selfish SystemsPinata Winoto, Yiu-ming Cheung, Jiming Liu. 703-708 [doi]
• estMax: Tracing Maximal Frequent Itemsets over Online Data StreamsHo Jin Woo, Won Suk Lee. 709-714 [doi]
• Locally Constrained Support Vector ClusteringDragomir Yankov, Eamonn J. Keogh, Kin Fai Kan. 715-720 [doi]
• Cocktail Ensemble for RegressionYang Yu, Zhi-Hua Zhou, Kai Ming Ting. 721-726 [doi]
• Incremental Subspace Clustering over Multiple Data StreamsQi Zhang, Jinze Liu, Wei Wang. 727-732 [doi]
• Noise Modeling with Associative Corruption RulesYan Zhang, Xindong Wu. 733-738 [doi]
• Co-ranking Authors and Documents in a Heterogeneous NetworkDing Zhou, Sergey A. Orshanskiy, Hongyuan Zha, C. Lee Giles. 739-744 [doi]
• Discovering Temporal Communities from Social Network DocumentsDing Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee Giles. 745-750 [doi]
• Efficient Discovery of Frequent Approximate Sequential PatternsFeida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu. 751-756 [doi]
• Active Learning from Data StreamsXingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi. 757-762 [doi]
• Lazy Bagging for Classifying Imbalanced DataXingquan Zhu. 763-768 [doi]