The Community for Technology Leaders
2013 IEEE 13th International Conference on Data Mining (2003)
Melbourne, Florida
Nov. 19, 2003 to Nov. 22, 2003
ISBN: 0-7695-1978-4
TABLE OF CONTENTS

Program Committee (PDF)

pp. xviii

Invited Talks (PDF)

pp. 751

Tutorials (PDF)

pp. 752

Workshops (PDF)

pp. 753
Research-Track Regular Papers

Efficient Multidimensional Quantitative Hypotheses Generation (Abstract)

Amihood Amir , Bar-Ilan University, Israel
Reuven Kashi , The State University of New Jersey
Nathan S. Netanyahu , Bar-Ilan University, Israel
pp. 3

ExAMiner: Optimized Level-wise Frequent Pattern Mining with Monotone Constraints (Abstract)

Dino Pedreschi , Universit? di Pisa, Italy
Francesco Bonchi , ISTI - C.N.R. Area della Ricerca di Pisa, Italy
Fosca Giannotti , ISTI - C.N.R. Area della Ricerca di Pisa, Italy
Alessio Mazzanti , Universit? di Pisa, Italy
pp. 11

Mining High Utility Itemsets (Abstract)

Raymond Chan , Hong Kong University of Science & Technology
Qiang Yang , Hong Kong University of Science & Technology
Yi-Dong Shen , Chinese Academy of Sciences, China
pp. 19

Zigzag: a new algorithm for mining large inclusion dependencies in databases (Abstract)

Fabien De Marchi , Universit? Blaise Pascal - Clermont-Ferrand II, France
Jean-Marc Petit , Universit? Blaise Pascal - Clermont-Ferrand II, France
pp. 27

Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds (Abstract)

Michihiro Kuramochi , University of Minnesota, Minneapolis
George Karypis , University of Minnesota, Minneapolis
Mukund Deshpande , University of Minnesota, Minneapolis
pp. 35

Optimized Disjunctive Association Rules via Sampling (Abstract)

J. Elble , University of Rochester, NY
L. Pitt , University of Illinois at Urbana-Champaign
C. Heeren , University of Illinois at Urbana-Champaign
pp. 43

Is random model better? On its accuracy and efficiency (Abstract)

Sheng Ma , IBM T.J.Watson Research
Haixun Wang , IBM T.J.Watson Research
Philip S. Yu , IBM T.J.Watson Research
Wei Fan , IBM T.J.Watson Research
pp. 51

Identifying Markov Blankets with Decision Tree Induction (Abstract)

Constantin F. Aliferis , Vanderbilt University, Nashville, TN
Lewis Frey , Vanderbilt University, Nashville, TN
Ioannis Tsamardinos , Vanderbilt University, Nashville, TN
Douglas Fisher , Vanderbilt University, Nashville, TN
Alexander Statnikov , Vanderbilt University, Nashville, TN
pp. 59

Reliable Detection of Episodes in Event Sequences (Abstract)

Wojciech Szpankowski , Purdue University
Mikhail Atallah , Purdue University
Robert Gwadera , Purdue University
pp. 67

A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering (Abstract)

Stefan Wermter , University of Sunderland, UK
Chihli Hung , University of Sunderland, UK
pp. 75

Mining Significant Pairs of Patterns from Graph Structures with Class Labels (Abstract)

Akihiro Inokuchi , Tokyo Research Laboratory, IBM Japan
Hisashi Kashima , Tokyo Research Laboratory, IBM Japan
pp. 83

Scalable Model-based Clustering by Working on Data Summaries (Abstract)

Man-Leung Wong , Lingnan University, Hong Kong
Kwong-Sak Leung , The Chinese University of Hong Kong
Huidong Jin , Lingnan University, Hong Kong
pp. 91

On the Privacy Preserving Properties of Random Data Perturbation Techniques (Abstract)

Hillol Kargupta , University of Maryland Baltimore County
Krishnamoorthy Sivakumar , Washington State University, Pullman
Souptik Datta , University of Maryland Baltimore County
Qi Wang , Washington State University, Pullman
pp. 99

Semantic Log Analysis Based on a User Query Behavior Model (Abstract)

Hanaki Miyoshi , NTT Information Sharing Platform Laboratories, Japan
Mukaigaito Takeya , NTT Information Sharing Platform Laboratories, Japan
Kawamae Noriaki , NTT Information Sharing Platform Laboratories, Japan
pp. 107

Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research (Abstract)

Eamonn Keogh , University of California - Riverside
Jessica Lin , University of California - Riverside
Wagner Truppel , University of California - Riverside
pp. 115

Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift (Abstract)

Marcus A. Maloof , Georgetown University, Washington, DC
Jeremy Z. Kolter , Georgetown University, Washington, DC
pp. 123

Probabilistic Noise Identification and Data Cleaning (Abstract)

Jeremy Kubica , Carnegie Mellon University, Pittsburgh, PA
Andrew Moore , Carnegie Mellon University, Pittsburgh, PA
pp. 131

Localized Prediction of Continuous Target Variables Using Hierarchical Clustering (Abstract)

Ramdev Kanapady , University of Minnesota, Minneapolis
Aleksandar Lazarevic , University of Minnesota, Minneapolis
Kumar Tamma , University of Minnesota, Minneapolis
Chandrika Kamath , Lawrence Livermore National Laboratory, CA
Vipin Kumar , University of Minnesota, Minneapolis
pp. 139

An Algebra for Inductive Query Evaluation (Abstract)

Luc De Raedt , Universit?t Freiburg, Germany
Sau Dan Lee , Universit?t Freiburg, Germany
pp. 147

Direct Interesting Rule Generation (Abstract)

Jiuyong Li , The University of Southern Queensland, Australia
Yanchun Zhang , Victoria University, Australia
pp. 155

Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data (Abstract)

Chandra Kambhamettu , University of Delaware
Jieping Ye , University of Minnesota
Qi Li , University of Delaware
pp. 163

Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis (Abstract)

Hans Chalupsky , University of Southern California
Shou-de Lin , University of Southern California
pp. 171

Building Text Classifiers Using Positive and Unlabeled Examples (Abstract)

Xiaoli Li , National University of Singapore/Singapore-MIT Alliance
Yang Dai , University of Illinois at Chicago
Wee Sun Lee , National University of Singapore/Singapore-MIT Alliance
Philip S. Yu , IBM T. J. Watson Research Center
Bing Liu , University of Illinois at Chicago
pp. 179

OP-Cluster: Clustering by Tendency in High Dimensional Space (Abstract)

Wei Wang , University of North Carolina, Chapel Hill
Jinze Liu , University of North Carolina, Chapel Hill
pp. 187

Parsing Without a Grammar: Making Sense of Unknown File Formats (Abstract)

Steven Skiena , State University of New York at Stony Brook
Levon Lloyd , State University of New York at Stony Brook
pp. 195

Probabilistic User Behavior Models (Abstract)

C. Lee Giles , Pennsylvania State University
Dmitry Pavlov , Yahoo Inc., Sunnyvale, California
Eren Manavoglu , Pennsylvania State University
pp. 203

Privacy-preserving Distributed Clustering using Generative Models (Abstract)

Srujana Merugu , University of Texas at Austin
Joydeep Ghosh , University of Texas at Austin
pp. 211

Change Profiles (Abstract)

Taneli Mielik?inen , University of Helsinki, Finland
pp. 219

Complex Spatial Relationships (Abstract)

Sanjay Chawla , University of Sydney
Pei Sun , University of Sydney
Robert Munro , University of Sydney
pp. 227

TECNO-STREAMS: Tracking Evolving Clusters in Noisy Data Streams with a Scalable Immune System Learning Model (Abstract)

Cesar Cardona Uribe , The University of Memphis, TN
Fabio Gonzalez , National University of Colombia, Bogota
Olfa Nasraoui , The University of Memphis, TN
Carlos Rojas Coronel , The University of Memphis, TN
pp. 235

Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions (Abstract)

Cheong Hee Park , University of Minnesota, Minneapolis
Haesun Park , University of Minnesota, Minneapolis
pp. 243

MaPle: A Fast Algorithm for Maximal Pattern-based Clustering (Abstract)

Jian Pei , State University of New York at Buffalo
Philip S. Yu , IBM T.J. Watson Research Center
Haixun Wang , IBM T.J. Watson Research Center
Moonjung Cho , State University of New York at Buffalo
Xiaoling Zhang , State University of New York at Buffalo
pp. 259

Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining (Abstract)

Slobodan Vucetic , Temple University, Philadelphia, PA
Hongbo Xie , Temple University, Philadelphia, PA
Zoran Obradovic , Temple University, Philadelphia, PA
Bo Han , Temple University, Philadelphia, PA
Kang Peng , Temple University, Philadelphia, PA
pp. 267

Statistical Relational Learning for Document Mining (Abstract)

David M. Pennock , Overture Services, Inc., Pasadena, CA
Steve Lawrence , Google, Mountain View, CA
Lyle H. Ungar , University of Pennsylvania, Philadelphia
Alexandrin Popescul , University of Pennsylvania, Philadelphia
pp. 275

A High-Performance Distributed Algorithm for Mining Association Rules (Abstract)

Ran Wolff , Technion - Israel Institute of Technology
Dan Trock , Technion - Israel Institute of Technology
Assaf Schuster , Technion - Israel Institute of Technology
pp. 291

Introducing Uncertainty into Pattern Discovery in Temporal Event Sequences (Abstract)

Xue Li , The University of Queensland, Australia
Maria E. Orlowska , The University of Queensland, Australia
Xingzhi Sun , The University of Queensland, Australia
pp. 299

Evolutionary Gabor Filter Optimization with Application to Vehicle Detection (Abstract)

George Bebis , University of Nevada, Reno
Ronald Miller , Ford Motor Company, Dearborn, MI
Zehang Sun , University of Nevada, Reno
pp. 307

Detecting Interesting Exceptions from Medical Test Data with Visual Summarization (Abstract)

Hideto Yokoi , Chiba University Hospital, Japan
Takeshi Watanabe , Yokohama National University, Japan
Einoshin Suzuki , Yokohama National University, Japan
Katsuhiko Takabayashi , Chiba University Hospital, Japan
pp. 315

Learning Bayesian Networks from Incomplete Data Based on EMI Method (Abstract)

Yuchang Lu , Tsinghua University, Beijing
Hongwei Zhang , Tsinghua University, Beijing
Fengzhan Tian , Tsinghua University, Beijing
pp. 323

Combining Multiple Weak Clusterings (Abstract)

Alexander Topchy , Michigan State University, East Lansing
Anil K. Jain , Michigan State University, East Lansing
William Punch , Michigan State University, East Lansing
pp. 331

Visualization of Rule's Similarity using Multidimensional Scaling (Abstract)

Shusaku Tsumoto , Shimane University, Japan
Shoji Hirano , Shimane University, Japan
pp. 339

TSP: Mining Top-K Closed Sequential Patterns (Abstract)

Petre Tzvetkov , University of Illinois at Urbana-Champaign, Illinois
Xifeng Yan , University of Illinois at Urbana-Champaign, Illinois
Jiawei Han , University of Illinois at Urbana-Champaign, Illinois
pp. 347

Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space (Abstract)

J? Walter , University of Bielefeld, Germany
Helge Ritter , University of Bielefeld, Germany
J? Ontrup , University of Bielefeld, Germany
Daniel Wessling , University of Bielefeld, Germany
pp. 355

Association Rule Mining in Peer-to-Peer Systems (Abstract)

Ran Wolff , Technion - Israel Institute of Technology
Assaf Schuster , Technion - Israel Institute of Technology
pp. 363

MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations (Abstract)

Ke Wang , Simon Fraser University, Canada
Raymond Chi-Wing Wong , The Chinese University of Hong Kong
Ada Wai-Chee Fu , The Chinese University of Hong Kong
pp. 371

Efficient Data Mining for Maximal Frequent Subtrees (Abstract)

Margaret H. Dunham , Southern Methodist University, Dallas, TX
Zhigang Li , Southern Methodist University, Dallas, TX
Jenq-Foung Yao , Georgia College and State University, Milledgeville, GA
Yongqiao Xiao , Georgia College and State University, Milledgeville, GA
pp. 379

Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution (Abstract)

Hui Xiong , Univ. of Minnesota - Twin Cities
Pang-Ning Tan , Michigan State University
Vipin Kumar , Univ. of Minnesota - Twin Cities
pp. 387

On Precision and Recall of Multi-Attribute Data Extraction from Semistructured Sources (Abstract)

Saikat Mukherjee , Stony Brook University, NY
Guizhen Yang , University at Buffalo, NY
I. V. Ramakrishnan , Stony Brook University, NY
pp. 395

Mining Plans for Customer-Class Transformation (Abstract)

Qiang Yang , Hong Kong University of Science and Technology
Hong Cheng , University of Illinois, Urbana-Champaign
pp. 403

Segmenting Customer Transactions Using a Pattern-Based Clustering Approach (Abstract)

Yinghui Yang , University of Pennsylvania
Balaji Padmanabhan , University of Pennsylvania
pp. 411

A new optimization criterion for generalized discriminant analysis on undersampled problems (Abstract)

Cheong Hee Park , University of Minnesota, Minneapolis
Jieping Ye , University of Minnesota, Minneapolis
Ravi Janardan , University of Minnesota, Minneapolis
Haesun Park , University of Minnesota, Minneapolis
pp. 419

Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques (Abstract)

Wayne Niblack , IBM Almaden Research Center
Tetsuya Nasukawa , IBM Tokyo Research Lab
Razvan Bunescu , University of Texas, Austin
Jeonghee Yi , IBM Almaden Research Center
pp. 427

Cost-Sensitive Learning by Cost-Proportionate Example Weighting (Abstract)

Naoki Abe , IBM T. J. Watson Research Center
Bianca Zadrozny , IBM T. J. Watson Research Center
John Langford , IBM T. J. Watson Research Center
pp. 435

CBC: Clustering Based Text Classification Requiring Minimal Labeled Data (Abstract)

Zheng Chen , Microsoft Research Asia, Beijing
Hongjun Lu , HKUST, Kowloon, Hong Kong
Xuan-Hui Wang , University of Science and Technology of China, Anhui Hefei
Hua-Jun Zeng , Microsoft Research Asia, Beijing
Wei-Ying Ma , Microsoft Research Asia, Beijing
pp. 443

Regression Clustering (Abstract)

Bin Zhang , Hewlett-Packard Research Laboratories, Palo Alto, CA
pp. 451

Model-based Clustering with Soft Balancing (Abstract)

Shi Zhong , Florida Atlantic University
Joydeep Ghosh , The University of Texas at Austin
pp. 459
Research-Track Short Papers

Integrating Fuzziness into OLAP for Multidimensional Fuzzy Association Rules Mining (Abstract)

Mehmet Kaya , F?rat University, Elazig, Turkey
Reda Alhajj , University of Calgary, Alberta, Canada
pp. 469

Analyzing High-Dimensional Data by Subspace Validity (Abstract)

Reuven Kashi , Bar-Ilan University
Markus Wawryniuk , University of Konstanz
Daniel Keim , University of Konstanz
Nathan S. Netanyahu , Bar-Ilan University
Amihood Amir , Bar-Ilan University
pp. 473

Objective and Subjective Algorithms for Grouping Association Rules (Abstract)

Xiangji Huang , York University, Toronto
Shakil Khan , York University, Toronto
Aijun An , York University, Toronto
pp. 477

Efficient Subsequence Matching in Time Series Databases Under Time and Amplitude Transformations (Abstract)

Charis Ermopoulos , National Technical University of Athens, Greece
Tassos Argyros , National Technical University of Athens, Greece
pp. 481

A Fast Algorithm for Computing Hypergraph Transversals and its Application in Mining Emerging Patterns (Abstract)

Kotagiri Ramamohanarao , The University of Melbourne, Australia
James Bailey , The University of Melbourne, Australia
Thomas Manoukian , The University of Melbourne, Australia
pp. 485

Mining Relevant Text from Unlabelled Documents (Abstract)

Ning Kang , George Mason University, Fairfax, VA
Daniel Barbar? , George Mason University, Fairfax, VA
Carlotta Domeniconi , George Mason University, Fairfax, VA
pp. 489

A User-driven and Quality-oriented Visualization for Mining Association Rules (Abstract)

Henri Briand , University of Nantes, France
Fabrice Guillet , University of Nantes, France
Julien Blanchard , University of Nantes, France
pp. 493

Towards Simple, Easy-to-Understand, yet Accurate Classifiers (Abstract)

Doina Caragea , Iowa State University
Dianne Cook , Iowa State University
Vasant Honavar , Iowa State University
pp. 497

Validating and Refining Clusters via Visual Rendering (Abstract)

Keke Chen , Georgia Institute of Technology
Ling Liu , Georgia Institute of Technology
pp. 501

Icon-based Visualization of Large High-Dimensional Datasets (Abstract)

Wei Ding , Univ. of Houston-Clear Lake, TX
Yves Simon , Lynn Inc., Houston, TX
Heloise Lynn , Lynn Inc., Houston, TX
Chenyi Hu , Univ. of Central Arkansas, AR
Ping Chen , Univ. of Houston-Downtown, TX
pp. 505

Indexing and Mining Free Trees (Abstract)

Yun Chi , University of California, Los Angeles
Richard R. Muntz , University of California, Los Angeles
Yirong Yang , University of California, Los Angeles
pp. 509

T-Trees, Vertical Partitioning and Distributed Association Rule Mining (Abstract)

Paul Leng , The University of Liverpool, UK
Frans Coenen , The University of Liverpool, UK
Shakil Ahmed , The University of Liverpool, UK
pp. 513

Information Theoretic Clustering of Sparse Co-Occurrence Data (Abstract)

Inderjit S. Dhillon , University of Texas, Austin
Yuqiang Guan , University of Texas, Austin
pp. 517

Links Between Kleinberg?s Hubs and Authorities, Correspondence Analysis, and Markov Chains (Abstract)

Francois Fouss , Universit? Catholique de Louvain, Belgium
Jean-Michel Renders , Xerox Research Center Europe, France
Marco Saerens , Universit? Catholique de Louvain, Belgium
pp. 521

Fast PNN-based Clustering Using K-nearest Neighbor Graph (Abstract)

Ville Hautam?ki , University of Joensuu, Finland
Olli Virmajoki , University of Joensuu, Finland
Pasi Fr?nti , University of Joensuu, Finland
pp. 525

The Rough Set Approach to Association Rule Mining (Abstract)

D. A. Bell , The Queen?s University of Belfast, Northern Ireland, U.K.
J. W. Guan , Jilin University, Changchun; The Queen?s University of Belfast, Northern Ireland, U.K.
D. Y. Liu , Jilin University, Changchun
pp. 529

Comparing Pure Parallel Ensemble Creation Techniques Against Bagging (Abstract)

Robert E. Banfield , University of South Florida, Tampa
Divya Bhadoria , University of South Florida, Tampa
W. Philip Kegelmeyer , Sandia National Labs, Livermore, CA
Steven Eschrich , University of South Florida, Tampa
Lawrence O. Hall , University of South Florida, Tampa
Kevin W. Bowyer , Computer Science & Engineering, Notre Dame, IN
pp. 533

Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns (Abstract)

Edwin O. Heierman, III , University of Texas at Arlington
Diane J. Cook , University of Texas at Arlington
pp. 537

Ontologies Improve Text Document Clustering (Abstract)

Steffen Staab , University of Karlsruhe, Germany
Andreas Hotho , University of Karlsruhe, Germany
Gerd Stumme , University of Karlsruhe, Germany
pp. 541

The Hybrid Poisson Aspect Model for Personalized Shopping Recommendation (Abstract)

Chun-Nan Hsu , Academia Sinica, Taipei, Taiwan
Han-Shen Huang , National Taiwan University, Taipei
Hao-Hsiang Chung , National Taiwan University, Taipei
pp. 545

Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism (Abstract)

Wei Wang , University of North Carolina, Chapel Hill
Jun Huan , University of North Carolina, Chapel Hill
Jan Prins , University of North Carolina, Chapel Hill
pp. 549

Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy (Abstract)

Jin Huang , The University of Western Ontario, London, Canada
Jingjing Lu , The University of Western Ontario, London, Canada
Charles X. Ling , The University of Western Ontario, London, Canada
pp. 553

SVM Based Models for Predicting Foreign Currency Exchange Rates (Abstract)

Iftekhar Ahmad , Monash University, Victoria, Australia
Ruhul A Sarker , University of NSW, Canberra, Australia
Joarder Kamruzzaman , Monash University, Victoria, Australia
pp. 557

Facilitating Fuzzy Association Rules Mining by Using Multi-Objective Genetic Algorithms for Automated Clustering (Abstract)

Mehmet Kaya , Firat University, Elazig, Turkey
Reda Alhajj , University of Calgary, Alberta, Canada
pp. 561

PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets (Abstract)

Christian Panse , University of Konstanz, Germany
Mike Sips , University of Konstanz, Germany
Stephen C. North , AT&T Shannon Laboratory, Florham Park, NJ
Daniel A. Keim , University of Konstanz, Germany
pp. 565

Tractable Group Detection on Large Link Data Sets (Abstract)

Andrew Moore , Carnegie Mellon University, Pittsburgh, PA
Jeremy Kubica , Carnegie Mellon University, Pittsburgh, PA
Jeff Schneider , Carnegie Mellon University, Pittsburgh, PA
pp. 573

Tree-structured Partitioning Based on Splitting Histograms of Distances (Abstract)

Marc Sobel , Temple University, Philadelphia, PA
Rajagopal Venugopal , Temple University, Philadelphia, PA
Longin Jan Latecki , Temple University, Philadelphia, PA
Steve Horvath , Univ. of California, Los Angeles, CA
pp. 577

CoMine: Efficient Mining of Correlated Patterns (Abstract)

Y. Dora Cai , University of Illinois at Urbana-Champaign
Jiawei Han , University of Illinois at Urbana-Champaign
Won-Young Kim , University of Illinois at Urbana-Champaign
Young-Koo Lee , University of Illinois at Urbana-Champaign
pp. 581

Ensembles of Cascading Trees (Abstract)

Huiqing Liu , Institute for Infocomm Research
Jinyan Li , Institute for Infocomm Research
pp. 585

Using Discriminant Analysis for Multi-class Classification (Abstract)

Tao Li , University of Rochester, NY
Shenghuo Zhu , Amazon.com, Inc.
Mitsunori Ogihara , University of Rochester, NY
pp. 589

Interpretations of Association Rules by Granular Computing (Abstract)

Ning Zhong , Maebashi Institute of Technology, Japan
Yuefeng Li , Queensland University of Technology, Brisbane, Australia
pp. 593

Algorithms for Spatial Outlier Detection (Abstract)

Chang-Tien Lu , Virginia Polytechnic Institute and State University, Falls Church
Yufeng Kou , Virginia Polytechnic Institute and State University, Falls Church
Dechang Chen , Uniformed Services University of the Health Sciences, Bethesda, MD
pp. 597

Learning Rules for Anomaly Detection of Hostile Network Traffic (Abstract)

Philip K. Chan , Florida Institute of Technology, Melbourne
Matthew V. Mahoney , Florida Institute of Technology, Melbourne
pp. 601

Simple Estimators for Relational Bayesian Classifiers (Abstract)

Brian Gallagher , University of Massachusetts Amherst
David Jensen , University of Massachusetts Amherst
Jennifer Neville , University of Massachusetts Amherst
pp. 609

Protecting Sensitive Knowledge By Data Sanitization (Abstract)

Stanley R. M. Oliveira , Embrapa Inform?tica Agropecu?ria, Campinas, Brasil
Osmar R. Za?ane , University of Alberta, Edmonton, Canada
pp. 613

Mining Frequent Itemsets in Distributed and Dynamic Databases (Abstract)

W. Meira Jr. , Universidade Federal de Minas Gerais
S. Parthasarathy , The Ohio-State University
A. Veloso , Universidade Federal de Minas Gerais
M. E. Otey , The Ohio-State University
C. Wang , The Ohio-State University
pp. 617

Structure Search and Stability Enhancement of Bayesian Networks (Abstract)

Hanchuan Peng , University of California, Berkeley
Chris Ding , University of California, Berkeley
pp. 621

Semantic Role Parsing: Adding Semantic Structure to Unstructured Text (Abstract)

James H. Martin , University of Colorado, Boulder
Sameer Pradhan , University of Colorado, Boulder
Kadri Hacioglu , University of Colorado, Boulder
Wayne Ward , University of Colorado, Boulder
Daniel Jurafsky , University of Colorado, Boulder
pp. 629

Mining Semantic Networks for Knowledge Discovery (Abstract)

K. Rajaraman , Institute for Infocomm Research, Singapore
Ah-Hwee Tan , Nanyang Technological University, Singapore
pp. 633

Impact Studies and Sensitivity Analysis in Medical Data Mining with ROC-based Genetic Learning (Abstract)

J?r? Az? , Universit? Paris-Sud Orsay, France
No? Lucas , Universit? Paris-Sud Orsay, France
Mich?le Sebag , Universit? Paris-Sud Orsay, France
pp. 637

K-D Decision Tree: An Accelerated and Memory Efficient Nearest Neighbor Classifier (Abstract)

Tomoyuki Shibata , Wakayama University
Toshikazu Wada , Wakayama University
Takekazu Kato , Wakayama University
pp. 641

Mining the Web to Discover the Meanings of an Ambiguous Word (Abstract)

Raz Tamir , The Hebrew University of Jerusalem
Reinhard Rapp , Johannes Gutenberg-Universit?t Mainz
pp. 645

A Hybrid Data-Mining Approach in Genomics and Text Structures (Abstract)

Lucian Iulian Fira , Technical University of Iasi, Romania
Horia-Nicolai Teodorescu , Romanian Academy, Iasi, Romania
pp. 649

Enhancing Techniques for Efficient Topic Hierarchy Integration (Abstract)

Ching-Han Lin , National Chung Cheng University
Hsuan-Yu Chen , National Chung Cheng University
Chi-Feng Chang , National Chung Cheng University
Jyh-Jong Tsay , National Chung Cheng University
pp. 657

Pattern Discovery based on Rule Induction and Taxonomy Generation (Abstract)

Shusaku Tsumoto , Shimane University, Japan
Shoji Hirano , Shimane University, Japan
pp. 661

Active Sampling for Feature Selection (Abstract)

Paolo Avesani , ITC-IRST, Trento, Italy
Sriharsha Veeramachaneni , ITC-IRST, Trento, Italy
pp. 665

Combining the web content and usage mining to understand the visitor behavior in a web site (Abstract)

Hiroshi Yasuda , University of Tokyo, Japan
Terumasa Aoki , University of Tokyo, Japan
Juan Vel?squez , University of Tokyo, Japan
pp. 669

Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers (Abstract)

Ricardo Vilalta , University of Houston, TX
Murali-Krishna Achari , University of Houston, TX
Christoph F. Eick , University of Houston, TX
pp. 673

Bootstrapping Rule Induction (Abstract)

Paul H. King , Vanderbilt University, Nashville, TN
Lemuel R. Waitman , Vanderbilt University, Nashville, TN
Douglas H. Fisher , Vanderbilt University, Nashville, TN
pp. 677

Center-Based Indexing for Nearest Neighbors Search (Abstract)

Arkadiusz Wojna , Warsaw University, Poland
pp. 681

Postprocessing Decision Trees to Extract Actionable Knowledge (Abstract)

Charles X. Ling , The University of Western Ontario, London, Canada
Tielin Chen , The University of Western Ontario, London, Canada
Jie Yin , Hong Kong University of Science and Technology
Qiang Yang , Hong Kong University of Science and Technology
pp. 685

Frequent-Pattern based Iterative Projected Clustering (Abstract)

Nikos Mamoulis , University of Hong Kong, Pokfulam Road
Man Lung Yiu , University of Hong Kong, Pokfulam Road
pp. 689

General MC: Estimating Boundary of Positive Class from Small Positive Data (Abstract)

Hwanjo Yu , University of Illinois at Urbana-Champaign
pp. 693

Clustering Item Data Sets with Association-Taxonomy Similarity (Abstract)

Ching-Huang Yun , National Taiwan University, Taipei
Ming-Syan Chen , National Taiwan University, Taipei
Kun-Ta Chuang , National Taiwan University, Taipei
pp. 697

Dimensionality Reduction Using Kernel Pooled Local Discriminant Information (Abstract)

Carlotta Domeniconi , George Mason University, Fairfax, VA
Peng Zhang , Tulane University, New Orleans, LA
Jing Peng , Tulane University, New Orleans, LA
pp. 701

A Feature Selection Framework for Text Filtering (Abstract)

Sargur Srihari , University at Buffalo, The State University of New York
Rohini Srihari , University at Buffalo, The State University of New York
Zhaohui Zheng , University at Buffalo, The State University of New York
pp. 705

A K-NN Associated Fuzzy Evidential Reasoning Classifier with Adaptive Neighbor Selection (Abstract)

Hongwei Zhu , University of Waterloo, Ontario, Canada
Otman Basir , University of Waterloo, Ontario, Canada
pp. 709
Industry-Track Papers

Findings from a Practical Project Concerning Web Usage Mining (Abstract)

Frank Dellmann , Fachhochschule M?nster
Holger Wulff , Fachhochschule M?nster
Stefan Schmitz , Fachhochschule M?nster
pp. 715

Predicting distribution of a new forest disease using one-class SVMs (Abstract)

Maggi Kelly , Univ. of California, Berkeley, CA
Qinghua Guo , Univ. of California, Berkeley, CA
Catherine Graham , Univ. of California, Berkeley, CA
pp. 719

Understanding Helicoverpa armigera Pest Population Dynamics related to Chickpea Crop Using Neural Networks (Abstract)

Rajat Gupta , IIIT, Hyderabad, India
YVR Reddy , ICRISAT, Patancheru, India
BVL Narayana , IIIT, Hyderabad, India
CLL Gowda , ICRISAT, Patancheru, India
G. V. Ranga Rao , ICRISAT, Patancheru, India
P. Krishna Reddy , IIIT, Hyderabad, India
G. Rama Murthy , IIIT, Hyderabad, India
pp. 723

Text Mining for a Clear Picture of Defect Reports: A Praxis Report (Abstract)

Zach Zakharian , IBM Silicon Valley Laboratory
Michael White , IBM Silicon Valley Laboratory
Steve Selvaggio , IBM Silicon Valley Laboratory
Jutta Kreyss , IBM Deutschland Entwicklung
pp. 727

Mining Production Data with Neural Network & CART (Abstract)

Keith Wagner , Guardian Industries Corp. Science & Tech., Carleton, MI
Mingkun Li , Oakland University, Rochester, MI
Ishwar K. Sethi , Oakland University, Rochester, MI
Shuo Feng , Oakland University, Rochester, MI
Jason Luciow , Guardian Industries Corp. Science & Tech., Carleton, MI
pp. 731

Inference of Protein-Protein Interactions by Unlikely Profile Pair (Abstract)

Byung-Hoon Park , Oak Ridge National Laboratory
Gong-Xin Yu , Oak Ridge National Laboratory
Nagiza F. Samatova , Oak Ridge National Laboratory
George Ostrouchov , Oak Ridge National Laboratory
Andrey Gorin , Oak Ridge National Laboratory
Al Geist , Oak Ridge National Laboratory
pp. 735

Regulatory Element Discovery Using Tree-structured Models (Abstract)

Tu Minh Phuong , Korea Advanced Institute of Science and Technology
Doheon Lee , Korea Advanced Institute of Science and Technology
Kwang Hyung Lee , Korea Advanced Institute of Science and Technology
pp. 739

Applying Noise Handling Techniques to Genomic Data: A Case Study (Abstract)

Choh Man Teng , Institute for Human and Machine Cognition, Pensacola FL
pp. 743

Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization (Abstract)

Kaidi Zhao , University of Illinois at Chicago
Bing Liu , University of Illinois at Chicago
Thomas M. Tirpak , Motorola Advanced Technology Center, Schaumburg, IL
Andreas Schaller , MATC-Europe, Germany
pp. 747

Author Index (PDF)

pp. 754
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