CSDL - Proceedings I

Title Page i (PDF)

pp. i

Title Page iii (PDF)

pp. iii

pp. iv

Table of Contents (PDF)

pp. v-xiii

Welcome Message from the Conference Chairs (PDF)

pp. xiv

Welcome to ICDM 2008 (PDF)

pp. xv-xvi

Conference Organization (PDF)

pp. xvii-xviii

Steering Committee (PDF)

pp. xix

Program Committee (PDF)

pp. xx-xxv

Non-PC Reviewers (PDF)

pp. xxvi-xxix

Corporate Sponsors (PDF)

pp. xxx

Invited Talks (PDF)

pp. xxxi

Tutorials (PDF)

pp. xxxii-xxxiii

Workshops (PDF)

pp. xxxiv-xxxvi

Panel Session (PDF)

pp. xxxvii

On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking (Abstract)

pp. 3-12

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Unsupervised Cross-Domain Learning by Interaction Information Co-clustering (Abstract)

Shin Ando

Einoshin Suzuki

pp. 13-22

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Paired Learners for Concept Drift (Abstract)

Stephen H. Bach

Marcus A. Maloof

pp. 23-32

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Predicting Future Decision Trees from Evolving Data (Abstract)

Mirko B

Martin Spott

Rudolf Kruse

pp. 33-42

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A Randomized Approach for Approximating the Number of Frequent Sets (Abstract)

Mario Boley

Henrik Grosskreutz

pp. 43-52

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A Non-parametric Semi-supervised Discretization Method (Abstract)

pp. 53-62

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Non-negative Matrix Factorization on Manifold (Abstract)

pp. 63-72

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Anti-monotonic Overlap-Graph Support Measures (Abstract)

pp. 73-82

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SeqStream: Mining Closed Sequential Patterns over Stream Sliding Windows (Abstract)

pp. 83-92

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SPARCL: Efficient and Effective Shape-Based Clustering (Abstract)

pp. 93-102

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Graph OLAP: Towards Online Analytical Processing on Graphs (Abstract)

pp. 103-112

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Exploiting Local and Global Invariants for the Management of Large Scale Information Systems (Abstract)

pp. 113-122

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DECK: Detecting Events from Web Click-Through Data (Abstract)

pp. 123-132

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Mining Order-Preserving Submatrices from Data with Repeated Measurements (Abstract)

Ben Kao

pp. 133-142

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Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data (Abstract)

David A. Cieslak

Nitesh V. Chawla

pp. 143-152

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Generalized Framework for Syntax-Based Relation Mining (Abstract)

pp. 153-162

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Formal Models for Expert Finding on DBLP Bibliography Data (Abstract)

pp. 163-172

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ReDSOM: Relative Density Visualization of Temporal Changes in Cluster Structures Using Self-Organizing Maps (Abstract)

Denny

Graham J. Williams

Peter Christen

pp. 173-182

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Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding (Abstract)

Chris Ding

Tao Li

Michael I. Jordan

pp. 183-192

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Space Efficient String Mining under Frequency Constraints (Abstract)

pp. 193-202

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Efficient Discovery of Statistically Significant Association Rules (Abstract)

Wilhelmiina Hämäläinen

Matti Nykänen

pp. 203-212

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Interpreting PET Scans by Structured Patient Data: A Data Mining Case Study in Dementia Research (Abstract)

pp. 213-222

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Inlier-Based Outlier Detection via Direct Density Ratio Estimation (Abstract)

pp. 223-232

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Supervised Inductive Learning with Lotka-Volterra Derived Models (Abstract)

pp. 233-242

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A Novel Language-Model-Based Approach for Image Object Mining and Re-ranking (Abstract)

pp. 243-252

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Maximum Margin Clustering with Pairwise Constraints (Abstract)

Yang Hu

pp. 253-262

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Collaborative Filtering for Implicit Feedback Datasets (Abstract)

pp. 263-272

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Semi-supervised Learning from General Unlabeled Data (Abstract)

pp. 273-282

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Metropolis Algorithms for Representative Subgraph Sampling (Abstract)

pp. 283-292

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Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction (Abstract)

Ze Tian

pp. 293-302

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A Fast Method to Mine Frequent Subsequences from Graph Sequence Data (Abstract)

Akihiro Inokuchi

Takashi Washio

pp. 303-312

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Overlapping Matrix Pattern Visualization: A Hypergraph Approach (Abstract)

pp. 313-322

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A Robust Discriminative Term Weighting Based Linear Discriminant Method for Text Classification (Abstract)

Khurum Nazir Junejo

Asim Karim

pp. 323-332

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Clustering Uncertain Data Using Voronoi Diagrams (Abstract)

Ben Kao

pp. 333-342

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Abdellali Kelil

Shengrui Wang

pp. 343-352

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Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons (Abstract)

Jingu Kim

Haesun Park

pp. 353-362

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Scalable Tensor Decompositions for Multi-aspect Data Mining (Abstract)

Tamara G. Kolda

Jimeng Sun

pp. 363-372

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Mining Periodic Behavior in Dynamic Social Networks (Abstract)

Mayank Lahiri

Tanya Y. Berger-Wolf

pp. 373-382

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Unsupervised Face Annotation by Mining the Web (Abstract)

Duy-Dinh Le

Shin'ichi Satoh

pp. 383-392

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Border Sampling through Coupling Markov Chain Monte Carlo (Abstract)

pp. 393-402

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Computationally Efficient Estimators for Dimension Reductions Using Stable Random Projections (Abstract)

Ping Li

pp. 403-412

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Isolation Forest (Abstract)

pp. 413-422

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TEFE: A Time-Efficient Approach to Feature Extraction (Abstract)

Yang Yu

pp. 423-432

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Transductive Component Analysis (Abstract)

Wei Liu

Dacheng Tao

Jianzhuang Liu

pp. 433-442

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Modeling and Predicting the Helpfulness of Online Reviews (Abstract)

pp. 443-452

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LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series (Abstract)

pp. 453-461

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Enhancing the Stability of Spectral Ordering with Sparsification and Partial Supervision: Application to Paleontological Data (Abstract)

Dimitrios Mavroeidis

Ella Bingham

pp. 462-471

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Scaling up Classifiers to Cloud Computers (Abstract)

pp. 472-481

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What Sperner Family Concept Class is Easy to Be Enumerated? (Abstract)

Atsuyoshi Nakamura

Mineichi Kudo

pp. 482-491

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Learning by Propagability (Abstract)

pp. 492-501

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One-Class Collaborative Filtering (Abstract)

Bin Cao

pp. 502-511

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DisCo: Distributed Co-clustering with Map-Reduce: A Case Study towards Petabyte-Scale End-to-End Mining (Abstract)

Spiros Papadimitriou

Jimeng Sun

pp. 512-521

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Learning Bayesian Networks: A MAP Criterion for Joint Selection of Model Structure and Parameter (Abstract)

Carsten Riggelsen

pp. 522-529

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Bayesian Co-clustering (Abstract)

Hanhuai Shan

Arindam Banerjee

pp. 530-539

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Temporal-Relational Classifiers for Prediction in Evolving Domains (Abstract)

Umang Sharan

Jennifer Neville

pp. 540-549

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xCrawl: A High-Recall Crawling Method for Web Mining (Abstract)

Kostyantyn Shchekotykhin

Dietmar Jannach

Gerhard Friedrich

pp. 550-559

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Comparison of Cluster Representations from Partial Second- to Full Fourth-Order Cross Moments for Data Stream Clustering (Abstract)

Mingzhou (Joe) Song

Lin Zhang

pp. 560-569

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Web Mining for Understanding Stories through Graph Visualisation (Abstract)

Ilija Subašic

Bettina Berendt

pp. 570-579

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Balancing Spectral Clustering for Segmenting Spatio-temporal Observations of Multi-agent Systems (Abstract)

Bálint Takács

Yiannis Demiris

pp. 580-587

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Finding Good Itemsets by Packing Data (Abstract)

Nikolaj Tatti

Jilles Vreeken

pp. 588-597

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Measuring Proximity on Graphs with Side Information (Abstract)

pp. 598-607

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Charalampos E. Tsourakakis

Fast Counting of Triangles in Large Real Networks without Counting: Algorithms and Laws (Abstract)

pp. 608-617

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Improving Collaborative Filtering Recommendations Using External Data (Abstract)

Akhmed Umyarov

Alexander Tuzhilin

pp. 618-627

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A Generative Probabilistic Model for Multi-label Classification (Abstract)

pp. 628-637

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SpecVAT: Enhanced Visual Cluster Analysis (Abstract)

Ramamohanarao Kotagiri

pp. 638-647

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Dirichlet Process Based Evolutionary Clustering (Abstract)

Tianbing Xu

Zhongfei (Mark) Zhang

Philip S. Yu

Bo Long

pp. 648-657

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Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State (Abstract)

Tianbing Xu

Zhongfei (Mark) Zhang

Philip S. Yu

Bo Long

pp. 658-667

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TOFA: Trace Oriented Feature Analysis in Text Categorization (Abstract)

Jun Yan

pp. 668-677

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Clustering Distributed Time Series in Sensor Networks (Abstract)

Jie Yin

Mohamed Medhat Gaber

pp. 678-687

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M3MIML: A Maximum Margin Method for Multi-instance Multi-label Learning (Abstract)

Min-Ling Zhang

Zhi-Hua Zhou

pp. 688-697

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RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs (Abstract)

pp. 701-706

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A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation (Abstract)

Pelin Angin

Jennifer Neville

pp. 707-712

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Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization (Abstract)

Rachit Arora

Balaraman Ravindran

pp. 713-718

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INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy (Abstract)

pp. 719-724

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Sergio Rodrigues de Morais

A Conservative Feature Subset Selection Algorithm with Missing Data (Abstract)

Alex Aussem

pp. 725-730

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Nonparametric Monotone Classification with MOCA (Abstract)

Nicola Barile

Ad Feelders

pp. 731-736

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Mining Large Networks with Subgraph Counting (Abstract)

pp. 737-742

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Comparative Evaluation of Anomaly Detection Techniques for Sequence Data (Abstract)

pp. 743-748

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On Locally Linear Classification by Pairwise Coupling (Abstract)

Feng Chen

Chang-Tien Lu

Arnold P. Boedihardjo

pp. 749-754

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A Probability Model for Projective Clustering on High Dimensional Data (Abstract)

pp. 755-760

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Estimating Aggregates over Multiple Sets (Abstract)

Edith Cohen

Haim Kaplan

pp. 761-766

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A Joint Matrix Factorization Approach to Unsupervised Action Categorization (Abstract)

pp. 767-772

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Finding Alternative Clusterings Using Constraints (Abstract)

Ian Davidson

Zijie Qi

pp. 773-778

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Efficient Feature Selection in the Presence of Multiple Feature Classes (Abstract)

pp. 779-784

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Why Stacked Models Perform Effective Collective Classification (Abstract)

Andrew Fast

David Jensen

pp. 785-790

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Multiplicative Mixture Models for Overlapping Clustering (Abstract)

Qiang Fu

Arindam Banerjee

pp. 791-796

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Anomaly Detection Support Vector Machine and Its Application to Fault Diagnosis (Abstract)

Ryohei Fujimaki

pp. 797-802

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A Recommendation System for Preconditioned Iterative Solvers (Abstract)

pp. 803-808

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Cost-Sensitive Parsimonious Linear Regression (Abstract)

pp. 809-814

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Text Mining in Radiology Reports (Abstract)

Qi Tian

pp. 815-820

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A Hierarchical Algorithm for Clustering Uncertain Data via an Information-Theoretic Approach (Abstract)

pp. 821-826

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Discovering Significant Patterns in Multi-stream Sequences (Abstract)

Robert Gwadera

Fabio Crestani

pp. 827-832

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Graph-Based Rare Category Detection (Abstract)

Jingrui He

Yan Liu

Richard Lawrence

pp. 833-838

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Clustering Documents with Active Learning Using Wikipedia (Abstract)

pp. 839-844

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Direct Zero-Norm Optimization for Feature Selection (Abstract)

pp. 845-850

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Discovering Flow Anomalies: A SWEET Approach (Abstract)

pp. 851-856

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Boosting Relational Sequence Alignments (Abstract)

pp. 857-862

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Support Vector Regression for Censored Data (SVRc): A Novel Tool for Survival Analysis (Abstract)

Faisal M. Khan

Valentina Bayer Zubek

pp. 863-868

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Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling (Abstract)

Ludmila I. Kuncheva

J. Salvador S

pp. 869-874

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Christopher L. Carmichael

WiFIsViz: Effective Visualization of Frequent Itemsets (Abstract)

Carson Kai-Sang Leung

Pourang P. Irani

pp. 875-880

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Fast and Memory Efficient Mining of High Utility Itemsets in Data Streams (Abstract)

pp. 881-886

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HIREL: An Incremental Clustering Algorithm for Relational Datasets (Abstract)

Tao Li

Sarabjot S. Anand

pp. 887-892

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Time Sensitive Ranking with Application to Publication Search (Abstract)

Xin Li

Bing Liu

Philip Yu

pp. 893-898

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Releasing the SVM Classifier with Privacy-Preservation (Abstract)

Keng-Pei Lin

Ming-Syan Chen

pp. 899-904

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Text Cube: Computing IR Measures for Multidimensional Text Database Analysis (Abstract)

Bo Zhao

pp. 905-910

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Multi-Space-Mapped SVMs for Multi-class Classification (Abstract)

Bo Liu

pp. 911-916

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Spotting Significant Changing Subgraphs in Evolving Graphs (Abstract)

pp. 917-922

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Classifying High-Dimensional Text and Web Data Using Very Short Patterns (Abstract)

Hassan H. Malik

John R. Kender

pp. 923-928

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A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data (Abstract)

Bhavani Thuraisingham

pp. 929-934

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Spatiotemporal Relational Probability Trees: An Introduction (Abstract)

pp. 935-940

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Stream Sequential Pattern Mining with Precise Error Bounds (Abstract)

pp. 941-946

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Organic Pie Charts (Abstract)

Fabian Moerchen

pp. 947-952

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Frequent Subgraph Retrieval in Geometric Graph Databases (Abstract)

Sebastian Nowozin

Koji Tsuda

pp. 953-958

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Alert Detection in System Logs (Abstract)

pp. 959-964

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Variance Minimization Least Squares Support Vector Machines for Time Series Analysis (Abstract)

Róbert Ormándi

pp. 965-970

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Fernando Pardo Manuel de Villena

Quantitative Association Analysis Using Tree Hierarchies (Abstract)

Feng Pan

Lynda Yang

Leonard McMillan

David Threadgill

Wei Wang

pp. 971-976

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Sparse Maximum Margin Logistic Regression for Credit Scoring (Abstract)

pp. 977-982

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Ali Mustafa Qamar

Eric Gaussier

Jean-Pierre Chevallet

Joo Hwee Lim

pp. 983-988

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RBNBC: Repeat Based Naive Bayes Classifier for Biological Sequences (Abstract)

Pratibha Rani

Vikram Pudi

pp. 989-994

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Multi-label Classification Using Ensembles of Pruned Sets (Abstract)

pp. 995-1000

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Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference (Abstract)

Steffen Rendle

Lars Schmidt-Thieme

pp. 1001-1006

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Iterative Subgraph Mining for Principal Component Analysis (Abstract)

Hiroto Saigo

Koji Tsuda

pp. 1007-1012

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Clustering Geospatial Objects via Hidden Markov Random Fields (Abstract)

Makoto Sato

Shuuichiro Imahara

pp. 1013-1018

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Collective Latent Dirichlet Allocation (Abstract)

Zhi-Yong Shen

Jun Sun

Yi-Dong Shen

pp. 1019-1024

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Document-Word Co-regularization for Semi-supervised Sentiment Analysis (Abstract)

Vikas Sindhwani

Prem Melville

pp. 1025-1030

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A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation Detection (Abstract)

pp. 1031-1036

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Block-Iterative Algorithms for Non-negative Matrix Approximation (Abstract)

Suvrit Sra

pp. 1037-1042

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A Novel Method of Combined Feature Extraction for Recognition (Abstract)

pp. 1043-1048

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Prediction of Skin Penetration Using Machine Learning Methods (Abstract)

Yi Sun

pp. 1049-1054

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A Topic Modeling Approach and Its Integration into the Random Walk Framework for Academic Search (Abstract)

pp. 1055-1060

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Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions (Abstract)

pp. 1061-1066

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Filling in the Blanks - Krimp Minimisation for Missing Data (Abstract)

Jilles Vreeken

Arno Siebes

pp. 1067-1072

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Computational Discovery of Motifs Using Hierarchical Clustering Techniques (Abstract)

Dianhui Wang

Nung Kion Lee

pp. 1073-1078

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Inference Analysis in Privacy-Preserving Data Re-publishing (Abstract)

pp. 1079-1084

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Using Wikipedia for Co-clustering Based Cross-Domain Text Classification (Abstract)

Pu Wang

Carlotta Domeniconi

Jian Hu

pp. 1085-1090

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Iterative Set Expansion of Named Entities Using the Web (Abstract)

Richard C. Wang

William W. Cohen

pp. 1091-1096

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Experimental Evaluation of the Value of Structure: How to Efficiently Exploit Interdependencies in Sequence Labeling (Abstract)

Guillaume Wisniewski

Patrick Gallinari

pp. 1097-1102

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Pseudolikelihood EM for Within-network Relational Learning (Abstract)

Rongjing Xiang

Jennifer Neville

pp. 1103-1108

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Publishing Sensitive Transactions for Itemset Utility (Abstract)

Yabo Xu

Ke Wang

pp. 1109-1114

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Learning the Latent Semantic Space for Ranking in Text Retrieval (Abstract)

Jun Yan

pp. 1115-1120

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Robust Time-Referenced Segmentation of Moving Object Trajectories (Abstract)

Hyunjin Yoon

Cyrus Shahabi

pp. 1121-1126

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Maximum Margin Embedding (Abstract)

pp. 1127-1132

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Graph-Based Iterative Hybrid Feature Selection (Abstract)

Wei Fan

pp. 1133-1138

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Cleansing Noisy Data Streams (Abstract)

Dan He

pp. 1139-1144

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Author Index (PDF)

pp. 1145-1150

Publisher's Information (PDF)

pp. 1152