Non-PC reviewers

Tutorials and Their Descriptions (PDF)

pp. xxvii-xxviii

Welcome Message from the Conference Chairs (PDF)

pp. xii

Corporate sponsors (PDF)

pp. xxii-xxiii

Preface (PDF)

pp. xiii

Conference organization (PDF)

pp. xiv-xv

Program Committee (PDF)

pp. xvi-xix

Invited Speakers and Their Talk Descriptions (PDF)

pp. xxiv-xxvi

REGULAR PAPERS

How Much Noise Is Too Much: A Study in Automatic Text Classification (Abstract)

pp. 3-12

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Clustering Needles in a Haystack: An Information Theoretic Analysis of Minority and Outlier Detection (Abstract)

Shin Ando

pp. 13-22

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Efficient Data Sampling in Heterogeneous Peer-to-Peer Networks (Abstract)

pp. 23-32

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Temporal Analysis of Semantic Graphs Using ASALSAN (Abstract)

pp. 33-42

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Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights (Abstract)

Robert M. Bell

Yehuda Koren

pp. 43-52

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Rule Cubes for Causal Investigations (Abstract)

pp. 53-62

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The Chosen Few: On Identifying Valuable Patterns (Abstract)

Bjorn Bringmann

Albrecht Zimmermann

pp. 63-72

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Spectral Regression: A Unified Approach for Sparse Subspace Learning (Abstract)

pp. 73-82

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Mining Frequent Itemsets in a Stream (Abstract)

pp. 83-92

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A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified Model (Abstract)

Shing-Kit Chan

Wai Lam

Xiaofeng Yu

pp. 93-102

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Incorporating User Provided Constraints into Document Clustering (Abstract)

pp. 103-112

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Depth-Based Novelty Detection and Its Application to Taxonomic Research (Abstract)

pp. 113-122

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Detecting Fractures in Classifier Performance (Abstract)

David A. Cieslak

Nitesh V. Chawla

pp. 123-132

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Non-redundant Multi-view Clustering via Orthogonalization (Abstract)

pp. 133-142

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On Appropriate Assumptions to Mine Data Streams: Analysis and Practice (Abstract)

Jing Gao

Wei Fan

Jiawei Han

pp. 143-152

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ORIGAMI: Mining Representative Orthogonal Graph Patterns (Abstract)

pp. 153-162

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Efficient Algorithms for Mining Significant Substructures in Graphs with Quality Guarantees (Abstract)

Huahai He

Ambuj K. Singh

pp. 163-172

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Dynamic Micro Targeting: Fitness-Based Approach to Predicting Individual Preferences (Abstract)

Tianyi Jiang

Alexander Tuzhilin

pp. 173-182

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Data Discretization Unification (Abstract)

pp. 183-192

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Improving Knowledge Discovery in Document Collections through Combining Text Retrieval and Link Analysis Techniques (Abstract)

Wei Jin

Rohini K. Srihari

Hung Hay Ho

Xin Wu

pp. 193-202

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Finding Cohesive Clusters for Analyzing Knowledge Communities (Abstract)

pp. 203-212

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Succinct Matrix Approximation and Efficient k-NN Classification (Abstract)

Rong Liu

Yong Shi

pp. 213-222

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A Pairwise Covariance-Preserving Projection Method for Dimension Reduction (Abstract)

pp. 223-231

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Community Learning by Graph Approximation (Abstract)

Bo Long

pp. 232-241

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Parallel Mining of Frequent Closed Patterns: Harnessing Modern Computer Architectures (Abstract)

pp. 242-251

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Supervised Learning by Training on Aggregate Outputs (Abstract)

David R. Musicant

Janara M. Christensen

Jamie F. Olson

pp. 252-261

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Sample Selection for Maximal Diversity (Abstract)

pp. 262-271

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Ardian Kristanto Poernomo

Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases (Abstract)

Vivekanand Gopalkrishnan

pp. 272-281

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Lightweight Distributed Trust Propagation (Abstract)

pp. 282-291

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Social Network Extraction of Academic Researchers (Abstract)

pp. 292-301

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General Averaged Divergence Analysis (Abstract)

pp. 302-311

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Maximum Entropy Based Significance of Itemsets (Abstract)

Nikolaj Tatti

pp. 312-321

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Local Probabilistic Models for Link Prediction (Abstract)

Chao Wang

Venu Satuluri

Srinivasan Parthasarathy

pp. 322-331

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Improving Text Classification by Using Encyclopedia Knowledge (Abstract)

Pu Wang

Jian Hu

pp. 332-341

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Language-Independent Set Expansion of Named Entities Using the Web (Abstract)

Richard C. Wang

William W. Cohen

pp. 342-350

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Structure-Based Statistical Features and Multivariate Time Series Clustering (Abstract)

pp. 351-360

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A Generalization of Proximity Functions for K-Means (Abstract)

pp. 361-370

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Multilevel Belief Propagation for Fast Inference on Markov Random Fields (Abstract)

pp. 371-380

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Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets (Abstract)

pp. 381-390

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Binary Matrix Factorization with Applications (Abstract)

Tao Li

pp. 391-400

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SHORT PAPERS

A Semantic Kernel for Semi-structured DocumentS (Abstract)

pp. 403-408

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DUSC: Dimensionality Unbiased Subspace Clustering (Abstract)

pp. 409-414

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Finding Predictive Runs with LAPS (Abstract)

Suhrid Balakrishnan

David Madigan

pp. 415-420

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Latent Dirichlet Conditional Naive-Bayes Models (Abstract)

Arindam Banerjee

Hanhuai Shan

pp. 421-426

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Efficient Kernel Discriminant Analysis via Spectral Regression (Abstract)

pp. 427-432

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Zonal Co-location Pattern Discovery with Dynamic Parameters (Abstract)

pp. 433-438

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Predicting Blogging Behavior Using Temporal and Social Networks (Abstract)

Bi Chen

pp. 439-444

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gApprox: Mining Frequent Approximate Patterns from a Massive Network (Abstract)

pp. 445-450

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Document Transformation for Multi-label Feature Selection in Text Categorization (Abstract)

Jun Yan

pp. 451-456

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Recommendation via Query Centered Random Walk on K-Partite Graph (Abstract)

pp. 457-462

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Bandit-Based Algorithms for Budgeted Learning (Abstract)

pp. 463-468

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Extracting Product Comparisons from Discussion Boards (Abstract)

pp. 469-474

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Mining Interpretable Human Strategies: A Case Study (Abstract)

pp. 475-480

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Cross-Mining Binary and Numerical Attributes (Abstract)

pp. 481-486

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Prism: A Primal-Encoding Approach for Frequent Sequence Mining (Abstract)

pp. 487-492

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Using Burstiness to Improve Clustering of Topics in News Streams (Abstract)

Qi He

Kuiyu Chang

Ee-Peng Lim

pp. 493-498

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Bayesian Folding-In with Dirichlet Kernels for PLSI (Abstract)

pp. 499-504

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Confident Identification of Relevant Objects Based on Nonlinear Rescaling Method and Transductive Inference (Abstract)

Shen-Shyang Ho

Roman Polyak

pp. 505-510

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Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining (Abstract)

pp. 511-516

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Semi-supervised Document Clustering via Active Learning with Pairwise Constraints (Abstract)

Ruizhang Huang

Wai Lam

pp. 517-522

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Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors (Abstract)

pp. 523-528

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On Meta-Learning Rule Learning Heuristics (Abstract)

Frederik Janssen

Johannes Furnkranz

pp. 529-534

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Web Site Recommendation Using HTTP Traffic (Abstract)

Xing Li

pp. 535-540

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Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks (Abstract)

pp. 541-546

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Analyzing and Detecting Review Spam (Abstract)

Nitin Jindal

Bing Liu

pp. 547-552

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A Computational Approach to Style in American Poetry (Abstract)

David M. Kaplan

David M. Blei

pp. 553-558

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Change-Point Detection in Time-Series Data Based on Subspace Identification (Abstract)

pp. 559-564

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Vasileios Megalooikonomou

Optimal Subsequence Bijection (Abstract)

Longin Jan Latecki

Qiang Wang

Suzan Koknar-Tezel

pp. 565-570

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Connections between Mining Frequent Itemsets and Learning Generative Models (Abstract)

Srivatsan Laxman

Prasad Naldurg

Raja Sripada

Ramarathnam Venkatesan

pp. 571-576

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Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization (Abstract)

Tao Li

Chris Ding

Michael I. Jordan

pp. 577-582

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Failure Prediction in IBM BlueGene/L Event Logs (Abstract)

pp. 583-588

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A Text Classification Framework with a Local Feature Ranking for Learning Social Networks (Abstract)

Masoud Makrehchi

Mohamed S. Kamel

pp. 589-594

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Optimizing Frequency Queries for Data Mining Applications (Abstract)

Hassan H. Malik

John R. Kender

pp. 595-600

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Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery (Abstract)

pp. 601-606

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Consensus Clusterings (Abstract)

Nam Nguyen

Rich Caruana

pp. 607-612

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High-Speed Function Approximation (Abstract)

pp. 613-618

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Weighted Additive Criterion for Linear Dimension Reduction (Abstract)

Jing Peng

Stefan Robila

pp. 619-624

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Local Word Bag Model for Text Categorization (Abstract)

Wen Pu

Jun Yan

pp. 625-630

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Sampling for Sequential Pattern Mining: From Static Databases to Data Streams (Abstract)

Chedy Raissi

Pascal Poncelet

pp. 631-636

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Can the Content of Public News Be Used to Forecast Abnormal Stock Market Behaviour? (Abstract)

pp. 637-642

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An Efficient Spectral Algorithm for Network Community Discovery and Its Applications to Biological and Social Networks (Abstract)

Jianhua Ruan

Weixiong Zhang

pp. 643-648

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Exploration of Link Structure and Community-Based Node Roles in Network Analysis (Abstract)

Jerry Scripps

Pang-Ning Tan

Abdol-Hossein Esfahanian

pp. 649-654

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Pannagadatta K. Shivaswamy

A Support Vector Approach to Censored Targets (Abstract)

Wei Chu

Martin Jansche

pp. 655-660

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Understanding Discrete Classifiers with a Case Study in Gene Prediction (Abstract)

Muhammad Subianto

Arno Siebes

pp. 661-666

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Statistical Learning Algorithm for Tree Similarity (Abstract)

pp. 667-672

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A Novel Criterion for Onset Detection: Differential Information Redundancy with Application to Human Movement Initiation (Abstract)

pp. 673-678

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Using Significant, Positively Associated and Relatively Class Correlated Rules for Associative Classification of Imbalanced Datasets (Abstract)

Florian Verhein

Sanjay Chawla

pp. 679-684

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Preserving Privacy through Data Generation (Abstract)

pp. 685-690

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Transitional Patterns and Their Significant Milestones (Abstract)

Qian Wan

Aijun An

pp. 691-696

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Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval (Abstract)

pp. 697-702

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Mechanism Design for Clustering Aggregation by Selfish Systems (Abstract)

pp. 703-708

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estMax: Tracing Maximal Frequent Itemsets over Online Data Streams (Abstract)

Ho Jin Woo

Won Suk Lee

pp. 709-714

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Locally Constrained Support Vector Clustering (Abstract)

pp. 715-720

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Cocktail Ensemble for Regression (Abstract)

Yang Yu

Zhi-Hua Zhou

Kai Ming Ting

pp. 721-726

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Incremental Subspace Clustering over Multiple Data Streams (Abstract)

pp. 727-732

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Noise Modeling with Associative Corruption Rules (Abstract)

Yan Zhang

Xindong Wu

pp. 733-738

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Co-ranking Authors and Documents in a Heterogeneous Network (Abstract)

pp. 739-744

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Discovering Temporal Communities from Social Network Documents (Abstract)

pp. 745-750

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Efficient Discovery of Frequent Approximate Sequential Patterns (Abstract)

pp. 751-756

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Active Learning from Data Streams (Abstract)

pp. 757-762

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Lazy Bagging for Classifying Imbalanced Data (Abstract)

Xingquan Zhu

pp. 763-768

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Author Index

Author Index (PDF)

pp. 769-771