CSDL - Proceedings I

Conference Organization (PDF)

pp. xvi

Steering Committee (PDF)

pp. xvii

Program Committee (PDF)

pp. xviii

Non-PC Reviewers (PDF)

pp. xxi

Corporate Sponsors (PDF)

pp. xxii

Main-Track Regular Papers

Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing (Abstract)

Naoki Abe, I.B.M. T. J. Watson Research Center

Edwin Pednault, I.B.M. T. J. Watson Research Center

Haixun Wang, I.B.M. T. J. Watson Research Center

Bianca Zadrozny, I.B.M. T. J. Watson Research Center

Wei Fan, I.B.M. T. J. Watson Research Center

Chid Apte, I.B.M. T. J. Watson Research Center

pp. 3

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Investigative Profiling with Computer Forensic Log Data and Association Rules (Abstract)

Tamas Abraham, Defence Science and Technology Organisation

Olivier de Vel, Defence Science and Technology Organisation

pp. 11

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Text Document Categorization by Term Association (Abstract)

Maria-Luiza Antonie, University of Alberta

Osmar R. Zaïane, University of Alberta

pp. 19

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Online Algorithms for Mining Semi-structured Data Stream (Abstract)

Tatsuya Asai, Kyushu University

Hiroki Arimura, Kyushu University and PRESTO

Kenji Abe, Kyushu University

Shinji Kawasoe, Kyushu University

Setsuo Arikawa

pp. 27

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A Lazy Approach to Pruning Classification Rules (Abstract)

Elena Baralis, Politecnico di Torino

Paolo Garza, Politecnico di Torino

pp. 35

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High Performance Data Mining Using the Nearest Neighbor Join (Abstract)

Christian Böhm, University for Health Informatics and Technology

Florian Krebs, University of Munich

pp. 43

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Mining Molecular Fragments: Finding Relevant Substructures of Molecules (Abstract)

Christian Borgelt, University of Magdeburg

Michael R. Berthold, Tripos, Inc.

pp. 51

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Mining General Temporal Association Rules for Items with Different Exhibition Periods (Abstract)

Cheng-Yue Chang, National Taiwan University

Ming-Syan Chen, National Taiwan University

Chang-Hung Lee, National Taiwan University

pp. 59

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Learning with Progressive Transductive Support Vector Machine (Abstract)

Yisong Chen, Peking University

Guoping Wang, Peking University

Shihai Dong, Peking University

pp. 67

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Towards Automatic Generation of Query Taxonomy: A Hierarchical Query Clustering Approach (Abstract)

Shui-Lung Chuang, Academia Sinica

Lee-Feng Chien, Academia Sinica

pp. 75

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Evolutionary Time Series Segmentation for Stock Data Mining (Abstract)

Fu-lai Chung, Hong Kong Polytechnic University

Tak-chung Fu, Hong Kong Polytechnic University

Robert Luk, Hong Kong Polytechnic University

Vincent Ng, Hong Kong Polytechnic University

pp. 83

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Using functional PCA for cardiac motion exploration (Abstract)

Denis Clot, Universit? Claude Bernard Lyon 1

pp. 91

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Unsupervised Segmentation of Categorical Time Series into Episodes (Abstract)

Paul Cohen, University of Massachusetts

Brent Heeringa, University of Massachusetts

Niall Adams, Imperial College

pp. 99

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Speed-up Iterative Frequent Itemset Mining with Constraint Changes (Abstract)

Gao Cong, National University of Singapore

Bing Liu, National University of Singapore

pp. 107

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Feature Selection for Clustering - A Filter Solution (Abstract)

Manoranjan Dash, Northwestern University

Kiseok Choi, Northwestern University

Peter Scheuermann, Northwestern University

Huan Liu, Arizona State University

pp. 115

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A Theory of Inductive Query Answering (Abstract)

Luc DE RAEDT, University of Freiburg

Manfred JAEGER, University of Freiburg, Univ. of Helsinki, and MPI Informatik

Sau Dan LEE, University of Freiburg

Heikki MANNILA, Univ. of Helsinki

pp. 123

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Iterative Clustering of High Dimensional Text Data Augmented by Local Search (Abstract)

Inderjit S. Dhillon, University of Texas

Yuqiang Guan, University of Texas

J. Kogan, University of Maryland Baltimore County

pp. 131

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Cluster merging and splitting in hierarchical clustering algorithms (Abstract)

Chris Ding, Lawrence Berkeley National Laboratory

Xiaofeng He, Lawrence Berkeley National Laboratory

pp. 139

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Adaptive dimension reduction for clustering high dimensional data (Abstract)

Chris Ding, Lawrence Berkeley National Laboratory

Xiaofeng He, Lawrence Berkeley National Laboratory

Hongyuan Zha, Pennsylvania State University,

Horst D. Simon, Lawrence Berkeley National Laboratory

pp. 147

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Modal-style operators in qualitative data analysis (Abstract)

Ivo Düntsch, Brock University

Günther Gediga, Institut f?r Evaluation und Marktanalysen

pp. 155

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Progressive Modeling (Abstract)

Wei Fan, IBM T.J.Watson Research

Haixun Wang, IBM T.J.Watson Research

Philip S. Yu, IBM T.J.Watson Research

Shaw-hwa Lo, Columbia Univ.

Salvatore Stolfo, Columbia Univ.

pp. 163

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Unsupervised Clustering of Symbol Strings and Context Recognition (Abstract)

John A. Flanagan, NOKIA

Jani Mäntyjarvi, NOKIA

Johan Himberg, NOKIA

pp. 171

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A Parameterless Method for Efficiently Discovering Clusters of Arbitrary Shape in Large Datasets (Abstract)

Andrew Foss, University of Alberta

Osmar R. ZaÏane, University of Alberta

pp. 179

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Discriminative Category Matching: Efficient Text Classification for Huge Discriminative Category Matching: Efficient Text Classification for Huge (Abstract)

Gabriel Pui Cheong Fung, Chinese University of Hong Kong

Jeffrey Xu Yu, Chinese University of Hong Kong

Hongjun Lu, Hong Kong University of Science & Technology

pp. 187

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Using Text Mining to Infer Semantic Attributes for Retail Data Mining (Abstract)

Rayid Ghani, Accenture Technology Labs

Andrew E. Fano, Accenture Technology Labs

pp. 195

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Phrase-based Document Similarity Based on an Index Graph Model (Abstract)

Khaled M. Hammouda, University of Waterloo

Mohamed S. Kamel, University of Waterloo

pp. 203

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Mining Top.K Frequent Closed Patterns without Minimum Support (Abstract)

Jiawei Han, University of Illinois at Urbana.Champaign

Jianyong Wang, University of Illinois at Urbana.Champaign

Ying Lu, University of Illinois at Urbana.Champaign

Petre Tzvetkov, University of Illinois at Urbana.Champaign

pp. 211

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Shoji Hirano, Shimane Medical University

Shusaku Tsumoto, Shimane Medical University

pp. 219

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Mining Generalized Association Rules Using Pruning Techniques (Abstract)

Yin-Fu Huang, National Yunlin University of Science and Technology

Chiech-Ming Wu, National Yunlin University of Science and Technology

pp. 227

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A Formal Model for User Preference (Abstract)

Sung Young Jung, LG Electronics Institute of Technology

Jeong-Hee Hong, LG Electronics Institute of Technology

Taek-Soo Kim, LG Electronics Institute of Technology

pp. 235

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Convex Hull Ensemble Machine (Abstract)

Yongdai Kim, Ewha Womans University

pp. 243

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Recognition of Common Areas in a Web Page Using Visual Information: a possible application in a page classification (Abstract)

Milos Kovacevic, University of Belgrade

Michelangelo Diligenti, University of Siena

Marco Gori, University of Siena

Veljko Milutinovic, University of Belgrade

pp. 250

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Discovering Frequent Geometric Subgraphs (Abstract)

Michihiro Kuramochi, University of Minnesota

George Karypis, University of Minnesota

pp. 258

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Adapting classification rule induction to subgroup discovery (Abstract)

Nada Lavrac, Jozef Stefan Institute

Peter Flach, University of Bristol

Branko Kavsek, Jozef Stefan Institute

Ljupco Todorovski, Jozef Stefan Institute

pp. 266

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Linear Causal Model Discovery Using the MML criterion (Abstract)

Gang Li, Deakin University

Honghua Dai, Deakin University

Yiqing Tu, Deakin University

pp. 274

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Attribute (Feature) Completion - The Theory of Attributes from Data Mining Prospect (Abstract)

Tsay Young (?T. Y.?) Lin, San Jose State University

pp. 282

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O-Cluster: Scalable Clustering of Large High Dimensional Data Sets (Abstract)

Boriana L. Milenova, Oracle Data Mining Technologies

Marcos M. Campos, Oracle Data Mining Technologies

pp. 290

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Employing Discrete Bayes Error rate for discretization and feature selection (Abstract)

Ankush Mittal, National University of Singapore

Loong-Fah Cheong, National University of Singapore

pp. 298

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Feature Selection Algorithms: A Survey and Experimental Evaluation (Abstract)

Luis Carlos Molina, Universitat Polit?cnica de Catalunya

Lluís Belanche, Universitat Polit?cnica de Catalunya

Àngela Nebot, Universitat Polit?cnica de Catalunya

pp. 306

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Multivariate supervised discretization, a neighborhood graph approach (Abstract)

Fabrice Muhlenbach, Lumi?re University

Ricco Rakotomalala, Lumi?re University

pp. 314

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Mining Association Rules from Stars (Abstract)

Eric Ka Ka Ng, Chinese University of Hong Kong

Ada Wai-Chee Fu, Chinese University of Hong Kong

Ke Wang, Simon Fraser University

pp. 322

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PERUSE: An Unsupervised Algorithm for Finding Recurrig Patterns in Time Series (Abstract)

Tim Oates, University of Maryland Baltimore County

pp. 330

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Adaptive and Resource-Aware Mining of Frequent Sets (Abstract)

S. Orlando

P. Palmerini, Universit? Ca' Foscari and Consiglio Nazionale delle Ricerche

R. Perego, Consiglio Nazionale delle Ricerche

F. Silvestri, Consiglio Nazionale delle Ricerche and Universit? di Pisa

pp. 338

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A new implementation technique for fast Spectral based document retrieval systems (Abstract)

Laurence A. F. Park, University of Melbourne

Marimuthu Palaniswami, University of Melbourne

Kotagiri Ramamohanarao, University of Melbourne

pp. 346

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Efficient Progressive Sampling for Association Rules (Abstract)

Srinivasan Parthasarathy, Ohio State University

pp. 354

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Efficient Discovery of Common Substructures in Macromolecules (Abstract)

Srinivasan Parthasarathy, Ohio State University

Matt Coatney, Ohio State University

pp. 362

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Mining Motifs in Massive Time Series Databases (Abstract)

Pranav Patel, University of California - Riverside

Eamonn Keogh, University of California - Riverside

Jessica Lin, University of California - Riverside

Stefano Lonardi, University of California - Riverside

pp. 370

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On Computing Condensed Frequent Pattern Bases (Abstract)

Jian Pei, State Univ. of New York at Buffalo

Guozhu Dong, Wright State Univ.

Wei Zou, Jiangxi Normal Univ.

Jiawei Han, Univ. of Illinois

pp. 378

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Automatic Web Page Classification in a Dynamic and Hierarchical Way (Abstract)

XIAOGANG PENG, Louisiana Tech University

BEN CHOI, Louisiana Tech University

pp. 386

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User-directed Exploration of Mining Space with Multiple Attributes (Abstract)

Chang-Shing Perng, IBM Thomas J. Watson Research Center

Haixun Wang, IBM Thomas J. Watson Research Center

Sheng Ma, IBM Thomas J. Watson Research Center

Joseph L. Hellerstein, IBM Thomas J. Watson Research Center

pp. 394

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Mining Significant Associations in Large Scale Text Corpora (Abstract)

Prabhakar Raghavan, Verity Inc.

Panayiotis Tsaparas, University of Toronto

pp. 402

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On a Capacity Control Using Boolean Kernels for the Learning of Boolean Functions (Abstract)

Ken Sadohara, National Institute of Advanced Industrial Science and Technology

pp. 410

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SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint (Abstract)

Masakazu Seno, University of Minnesota

George Karypis, University of Minnesota

pp. 418

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Objective-Oriented Utility-Based Association Mining (Abstract)

Yi-Dong Shen, Chinese Academy of Sciences

Zhong Zhang, Simon Fraser University

Qiang Yang, Hong Kong University of Science and Technology

pp. 426

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A Self-Organizing Map with Expanding Force for Data Clustering and Visualization (Abstract)

Wing-Ho Shum, Chinese University of Hong Kong

Hui-Dong Jin, Chinese University of Hong Kong

Kwong-Sak Leung, Chinese University of Hong Kong

Man-Leung Wong, Lingnan University

pp. 434

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On the Mining of Substitution Rules for Statistically Dependent Items (Abstract)

Wei-Guang Teng, National Taiwan University

Ming-Jyh Hsieh, National Taiwan University

Ming-Syan Chen, National Taiwan University

pp. 442

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TreeFinder: a First Step towards XML Data Mining (Abstract)

Alexandre Termier, LRI - CNRS UMR

Marie-Christine Rousset, LRI - CNRS UMR

Michèl Sebag, LRI - CNRS UMR

pp. 450

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Computing Frequent Graph Patterns from Semistructured Data (Abstract)

N. Vanetik, Ben Gurion University

E. Gudes, Ben Gurion University

S. E. Shimony, Ben Gurion University

pp. 458

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Estimating the number of segments in time series data using permutation tests (Abstract)

Kari T. Vasko, University of Helsinki

Hannu T.T. Toivonen, University of Helsinki

pp. 466

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Predicting Rare Events In Temporal Domains (Abstract)

Ricardo Vilalta, University of Houston

Sheng Ma, IBM T.J. Watson Center

pp. 474

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Mining Associations by Pattern Structure in Large Relational Tables (Abstract)

Haixun Wang, IBM T. J. Watson Research Center

Chang-Shing Perng, IBM T. J. Watson Research Center

Sheng Ma, IBM T. J. Watson Research Center

Philip S. Yu, IBM T. J. Watson Research Center

pp. 482

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Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning (Abstract)

Zhihai Wang, Deakin University

Geoffrey I. Webb, Monash University

pp. 490

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A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming (Abstract)

Man Leung Wong, Lingnan University

Shing Yan Lee, CUHK

Kwong Sak Leung, CUHK

pp. 498

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Adapting Information Extraction Knowledge For Unseen Web Sites (Abstract)

Tak-Lam Wong, Chinese University of Hong Kong

Wai Lam, Chinese University of Hong Kong

pp. 506

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From Path Tree To Frequent Patterns: A Framework for Mining Frequent Patterns (Abstract)

Yabo Xu, Chinese University of Hong Kong

Jeffrey Xu Yu, Chinese University of Hong Kong

Guimei Liu, Hong Kong University of Science and Technology

Hongjun Lu, Hong Kong University of Science and Technology

pp. 514

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Mining Case Bases for Action Recommendation (Abstract)

Qiang Yang, Hong Kong University of Science and Technology

Hong Cheng, Hong Kong University of Science and Technology

pp. 522

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Adaptive Ripple Down Rules Method based on Minimum Description Length Principle (Abstract)

Tetsuya Yoshida, Osaka University

Hiroshi Motoda, Osaka University

Takashi Washio, Osaka University

pp. 530

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Heterogeneous Learner for Web Page Classification (Abstract)

Hwanjo Yu, University of Illinois

Kevin Chen-Chuan Chang, University of Illinois

Jiawei Han, University of Illinois

pp. 538

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Using Category-Based Adherence to Cluster Market-Basket Data (Abstract)

Ching-Huang Yun, National Taiwan University

Kun-Ta Chuang, National Taiwan University

Ming-Syan Chen, National Taiwan University

pp. 546

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A Comparison Study on Algorithms for Incremental Update of Frequent Sequences (Abstract)

Minghua Zhang, The University of Hong Kong

Ben Kao, The University of Hong Kong

Chi-Lap Yip, The University of Hong Kong

pp. 554

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On Active Learning for Data Acquisition (Abstract)

Zhiqiang Zheng, University of Pennsylvania

Balaji Padmanabhan, University of Pennsylvania

pp. 562

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SmartMiner: A Depth First Algorithm Guided by Tail Information for Mining Maximal Frequent Itemsets (Abstract)

Qinghua Zou, University of California-LA

Wesley W. Chu, University of California-LA

Baojing Lu, North Dakota State University

pp. 570

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Main-Track Short Papers

Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods (Abstract)

Michael R. Berthold, Data Analysis Research Lab, Tripos Inc.

Bernd Wiswedel, Data Analysis Research Lab, Tripos Inc.

David E. Patterson, Data Analysis Research Lab, Tripos Inc.

pp. 581

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A New Algorithm for Learning Parameters of a Bayesian Network from Distributed Data (Abstract)

R. Chen, Washington State University

K. Sivakumar, Washington State University

pp. 585

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Optimal Projections of High Dimensional Data (Abstract)

Emilio Corchado, Universidad de Burgos

Colin Fyfe, The University of Paisley

pp. 589

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Generating an informative cover for association rules (Abstract)

Laurentiu Cristofor, University of Massachusetts at Boston

Dan Simovici, University of Massachusetts at Boston

pp. 597

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Extraction Techniques for Mining Services from Web Sources (Abstract)

Hasan Davulcu, SUNY Stony Brook

Saikat Mukherjee, SUNY Stony Brook

I.V. Ramakrishnan, SUNY Stony Brook

pp. 601

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Reviewing RELIEF and its Extensions: A new Approach for Estimating Attributes considering high-correlated Features (Abstract)

Raquel Flórez-López, University of Le?

pp. 605

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ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough Sets (Abstract)

Liqiang Geng, University of Regina

Howard J. Hamilton, University of Regina

pp. 609

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An Algebraic Approach to Data Mining: Some Examples (Abstract)

Robert L. Grossman, University of Illinois at Chicago

Richard G. Larson, University of Illinois at Chicago

pp. 613

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Wavelet Based UXO Detection (Abstract)

S. Hodgson, University of New England

N. Dunstan, University of New England

R. Murison, University of New England

pp. 617

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Ensemble Modeling Through Multiplicative Adjustment of Class Probability (Abstract)

Se June Hong, IBM T.J. Watson Research Center

Jonathan Hosking, IBM T.J. Watson Research Center

Ramesh Natarajan, IBM T.J. Watson Research Center

pp. 621

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Mining A Set of Coregulated RNA Sequences (Abstract)

Yuh-Jyh Hu, National Chiao Tung University

pp. 625

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Association Analysis with One Scan of Databases (Abstract)

Hao Huang, Colorado School of Mines

Xindong Wu, University of Vermont

Richard Relue, Colorado School of Mines

pp. 629

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Implementation of a Least Fixpoint Operator for Fast Mining of Relational Databases (Abstract)

Hasan M. Jamil, Mississippi State University

pp. 633

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Considering Both Intra-Pattern and Inter-Pattern Anomalies for Intrusion Detection (Abstract)

Ning Jiang, University of Central Florida

Kien A. Hua, University of Central Florida

Simon Sheu, National Tsing Hua University

pp. 637

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On Evaluating Performance of Classifiers for Rare Classes (Abstract)

Mahesh V. Joshi, IBM T. J. Watson Research Center

pp. 641

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Learning from Order Examples (Abstract)

Toshihiro Kamishima, National Institute of Advanced Industrial Science and Technology (AIST)

Shotaro Akaho, National Institute of Advanced Industrial Science and Technology (AIST)

pp. 645

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A Personalized Music Filtering System Based on Melody Style Classification (Abstract)

Fang-Fei Kuo, National Cheng Chi University

Man-Kwan Shan, National Cheng Chi University

pp. 649

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Solving the Fragmentation Problem of Decision Trees by Discovering Boundary Emerging Patterns (Abstract)

Jinyan Li

Limsoon Wong, Laboratories for Information Technology

pp. 653

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Improving Medical/Biological Data Classification Performance by Wavelet Preprocessing (Abstract)

Qi Li, University of Delaware

Tao Li, University of Rochester

Shenghuo Zhu, University of Rochester

Chandra Kambhamettu, University of Delaware

pp. 657

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Progressive and Interactive Analysis of Event Data Using Event Miner (Abstract)

Sheng Ma, IBM T.J. Watson Research Center

Joseph L. Hellerstein, IBM T.J. Watson Research Center

Chang-shing Perng, IBM T.J. Watson Research Center

Genady Grabarnik, IBM T.J. Watson Research Center

pp. 661

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Toward XML-Based Knowledge Discovery Systems (Abstract)

Rosa Meo, Universit? degli Studi di Torino

Giuseppe Psaila, Universit? degli Studi di Bergamo

pp. 665

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Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks (Abstract)

Bamshad Mobasher, DePaul University

Honghua Dai, DePaul University

Tao Luo, DePaul University

Miki Nakagawa, DePaul University

pp. 669

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Intersection Based Generalization Rules for the Analysis of Symbolic Septic Shock Patient Data (Abstract)

Jürgen Paetz, J.W. Goethe-Universit?

pp. 673

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Exploring Interestingness Through Clustering: A Framework (Abstract)

Sigal Sahar, Tel-Aviv University

pp. 677

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On Incorporating Subjective Interestingness Into the Mining Process (Abstract)

Sigal Sahar, Tel-Aviv University

pp. 681

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Exploring the Parameter State Space of Stacking (Abstract)

Alexander K. Seewald, Austrian Research Institute for Artificial Intelligence

pp. 685

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Mining Associated Implication Networks: Computational Intermarket Analysis (Abstract)

Phil Tse, Hong Kong Baptist University

Jiming Liu, Hong Kong Baptist University

pp. 689

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Maintenance of Sequential Patterns for Record Modification Using Pre-large Sequences (Abstract)

Ching-Yao Wang, National Chiao-Tung University

Tzung-Pei Hong, National University of Kaohsiung

Shian-Shyong Tseng, National Chiao-Tung University

pp. 693

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Concept Tree Based Clustering Visualization with Shaded Similarity Matrices (Abstract)

Jun Wang, University of Illinois at Urbana-Champaign

Bei Yu, University of Illinois at Urbana-Champaign

Les Gasser, University of Illinois at Urbana-Champaign

pp. 697

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\Delta B ⁺ Tree: Indexing 3D Point Sets for Pattern Discovery (Abstract)

Xiong Wang, California State University, Fullerton

pp. 701

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An Incremental Approach to Building a Cluster Hierarchy (Abstract)

Dwi H. Widyantoro, Texas A&M University

Thomas R. Ioerger, Texas A&M University

John Yen, The Pennsylvania State University

pp. 705

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A Comparative Study of RNN for Outlier Detection in Data Mining (Abstract)

Graham Williams, CSIRO Enterprise Data Mining

Rohan Baxter, CSIRO Enterprise Data Mining

Hongxing He, CSIRO Enterprise Data Mining

Simon Hawkins, CSIRO Enterprise Data Mining

Lifang Gu, CSIRO Enterprise Data Mining

pp. 709

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Evaluating the Utility of Statistical Phrases and Latent Semantic Indexing for Text Classification (Abstract)

Huiwen Wu, University of California

Dimitrios Gunopulos, University of California

pp. 713

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Mixtures of ARMA Models for Model-Based Time Series Clustering (Abstract)

Yimin Xiong, Hong Kong University of Science and Technology

Dit-Yan Yeung, Hong Kong University of Science and Technology

pp. 717

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gSpan: Graph-Based Substructure Pattern Mining (Abstract)

Xifeng Yan, University of Illinois at Urbana-Champaign

Jiawei Han, University of Illinois at Urbana-Champaign

pp. 721

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InfoMiner+: Mining Partial Periodic Patterns with Gap Penalties (Abstract)

Jiong Yang, UIUC

Wei Wang, UNC-Chapel Hill

Philip S. Yu, IBM T. J. Watson Research Center

pp. 725

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FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences (Abstract)

Hong Yao, University of Regina

Howard J. Hamilton, University of Regina

Cory J. Butz, University of Regina

pp. 729

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Mining Genes in DNA Using GeneScout (Abstract)

Michael M. Yin, New Jersey Institute of Technology

Jason T. L. Wang, New Jersey Institute of Technology

pp. 733

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Clustering Spatial Data when Facing Physical Constraints (Abstract)

Osmar R. ZaÏane, University of Alberta

Chi-Hoon Lee, University of Alberta

pp. 737

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Mining Surveillance Video for Independent Motion Detection (Abstract)

Zhongfei (Mark) Zhang, State University of New York (SUNY) at Binghamton

pp. 741

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Adaptive Parallel Sentences Mining from Web Bilingual News Collection (Abstract)

Bing Zhao, Carnegie Mellon University

Stephan Vogel, Carnegie Mellon University

pp. 745

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Industry-Track Papers

Telecommunications Strategic Marketing - KDD and Economic Modeling (Abstract)

Stefano Cazzella, DIS - Univ. di Roma "La Sapienza"

Luigi Dragone, DIS - Univ. di Roma "La Sapienza"

Stefano M. Trisolini, TELECOM Italia

pp. 751

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webSPADE: A Parallel Sequence Mining Algorithm to Analyze Web Log Data (Abstract)

Ayhan Demiriz, Information Technology

pp. 755

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Mining Online Users? Access Records for Web Business Intelligence (Abstract)

Simon Fong, Universidade de Macau

Serena Chan, e-Business Development Team

pp. 759

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Discovery of Interesting Association Rules from Livelink Web Log Data (Abstract)

Xiangji Huang, University of Waterloo

Aijun An, York University

Nick Cercone, Dalhousie University

Gary Promhouse, Open Text Corporation

pp. 763

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Mining Optimal Actions for Profitable CRM (Abstract)

Charles X. Ling, The University of Western Ontario

Tielin Chen, The University of Western Ontario

Qiang Yang, Hong Kong University of Science and Technology

Jie Cheng, Canadian Imperial Bank of Commerce (CIBC)

pp. 767

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Visually Mining Web User Clickpaths (Abstract)

Teresa Mah, Microsoft Corporation

Ying Li, Microsoft Corporation

pp. 771

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Experimentation and Self Learning in Continuous Database Marketing (Abstract)

James E Pearce, MarketEaze Solutions

Geoffrey I Webb, Monash University

Robin N Shaw, Deakin University

Brian Garner, Deakin University

pp. 775

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Demand Forecasting by the Neural Network with Discrete Fourier Transform (Abstract)

Mariko Yohda, The Japan Research Institute, Limited

Makiko Saito-Arita, The Japan Research Institute, Limited

Akira Okada, The Japan Research Institute, Limited

Ryota Suzuki, Hitotsubashi University

Yoshitsugu Kakemoto, The Japan Research Institute, Limited

pp. 779

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Author's Index (PDF)

pp. 785