The Community for Technology Leaders
2013 IEEE 13th International Conference on Data Mining (2004)
Brighton, United Kingdom
Nov. 1, 2004 to Nov. 4, 2004
ISBN: 0-7695-2142-8
TABLE OF CONTENTS
Short Papers

Program Committee (PDF)

pp. xvii-xix

Tutorials (PDF)

pp. 580
Regular Papers

Detection of Significant Sets of Episodes in Event Sequences (Abstract)

Wojciech Szpankowski , Purdue University
Robert Gwadera , Purdue University
Mikhail Atallah , Purdue University
pp. 3-10

Subspace Selection for Clustering High-Dimensional Data (Abstract)

Christian Baumgartner , University for Health Sciences, Austria
Hans-Peter Kriegel , University of Munich, Germany
Claudia Plant , University for Health Sciences, Austria
Karin Kailing , University of Munich, Germany
Peer Kr?ger , University of Munich, Germany
pp. 11-18

Multi-View Clustering (Abstract)

Steffen Bickel , Humboldt-Universit?t zu Berlin, Germany
Tobias Scheffer , Humboldt-Universit?t zu Berlin, Germany
pp. 19-26

Density Connected Clustering with Local Subspace Preferences (Abstract)

Christian B? , University of Munich, Germany
Peer Kr?ger , University of Munich, Germany
Hans-Peter Kriegel , University of Munich, Germany
Karin Kailing , University of Munich, Germany
pp. 27-34

On Closed Constrained Frequent Pattern Mining (Abstract)

Francesco Bonchi , ISTI - CNR, Area della Ricerca di Pisa, Italy
Claudio Lucchese , ISTI - CNR, Area della Ricerca di Pisa, Italy
pp. 35-42

Efficient Density-Based Clustering of Complex Objects (Abstract)

Hans-Peter Kriegel , University of Munich, Germany
Stefan Brecheisen, , University of Munich, Germany
Martin Pfeifle , University of Munich, Germany
pp. 43-50

Test-Cost Sensitive Naive Bayes Classification (Abstract)

Lin Deng , Hong Kong University of Science and Technology, China
Qiang Yang , Hong Kong University of Science and Technology, China
Charles X. Ling , The University of Western Ontario, Canada
Xiaoyong Chai , Hong Kong University of Science and Technology, China
pp. 51-58

Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding Window (Abstract)

Haixun Wang , IBM Thomas J. Watson Research Center, Hawthorne, NY
Yun Chi , University of California, Los Angeles
Philip S. Yu , IBM Thomas J. Watson Research Center, Hawthorne, NY
Richard R. Muntz , University of California, Los Angeles
pp. 59-66

Communication Efficient Construction of Decision Trees Over Heterogeneously Distributed Data (Abstract)

Chris Giannella , University of Maryland Baltimore County, Baltimore, MD
Hillol Kargupta , University of Maryland Baltimore County, Baltimore, MD
Todd Olsen , University of Maryland Baltimore County, Baltimore, MD
Kun Liu , University of Maryland Baltimore County, Baltimore, MD
pp. 67-74

Non-Redundant Data Clustering (Abstract)

David Gondek , Brown University, Providence, RI
Thomas Hofmann , Brown University, Providence, RI
pp. 75-82

Fast and Exact Out-of-Core K-Means Clustering (Abstract)

Gagan Agrawal , Ohio State University
Anjan Goswami , Ohio State University
Ruoming Jin , Ohio State University
pp. 83-90

Mining Frequent Itemsets from Secondary Memory (Abstract)

G?sta Grahne , Concordia University, Montreal, Canada
Jianfei Zhu , Concordia University, Montreal, Canada
pp. 91-98

A Bayesian Framework for Regularized SVM Parameter Estimation (Abstract)

Jens Gregor , University of Tennessee, Knoxville, TN
Zhenqiu Liu , University of Tennessee, Knoxville, TN
pp. 99-105

Unimodal Segmentation of Sequences (Abstract)

Aristides Gionis , University of Helsinki, Finland
Niina Haiminen , University of Helsinki, Finland
pp. 106-113

Dependencies between Transcription Factor Binding Sites: Comparison between ICA, NMF, PLSA and Frequent Sets (Abstract)

Ella Bingham , Helsinki University of Technology, Finland
Heli Hiisil? , Helsinki University of Technology, Finland
pp. 114-121

Mass Spectrum Labeling: Theory and Practice (Abstract)

R. Ramakrishnan , University of Wisconsin-Madison
Z. Huang , University of Wisconsin-Madison
L. Chen , University of Wisconsin-Madison
S. J. Wright , University of Wisconsin-Madison
J-Y. Cai , University of Wisconsin-Madison
J. Schauer , University of Wisconsin-Madison
D. Gross , Carleton College
D. Musicant , Carleton College
pp. 122-129

Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers (Abstract)

Vasant Honavar , Iowa State University, Ames
Dae-Ki Kang , Iowa State University, Ames
Jun Zhang , Iowa State University, Ames
Adrian Silvescu , Iowa State University, Ames
pp. 130-137

Semi-Supervised Mixture-of-Experts Classification (Abstract)

Grigoris Karakoulas , University of Toronto, Canada
Ruslan Salakhutdinov , University of Toronto, Canada
pp. 138-145

Mining Associations by Linear Inequalities (Abstract)

Tsay Young Lin , San Jose State University, CA
pp. 154-161

Improving Text Classification using Local Latent Semantic Indexing (Abstract)

Zheng Chen , Microsoft Research Asia
Wei-ying Ma , Microsoft Research Asia
Benyu Zhang , Microsoft Research Asia
Tao Liu , Nankai University, China
Gongyi Wu , Nankai University, China
pp. 162-169

Dependency Networks for Relational Data (Abstract)

Jennifer Neville , University of Massachusetts Amherst
David Jensen , University of Massachusetts Amherst
pp. 170-177

Hybrid Pre-Query Term Expansion using Latent Semantic Analysis (Abstract)

Laurence A. F. Park , The University of Melbourne
Kotagiri Ramamohanarao , The University of Melbourne
pp. 178-185

SCHISM: A New Approach for Interesting Subspace Mining (Abstract)

Mohammed Zaki , Rensselaer Polytechnic Institute, Troy, New York
Karlton Sequeira , Rensselaer Polytechnic Institute, Troy, New York
pp. 186-193

A Transaction-Based Neighbourhood-Driven Approach to Quantifying Interestingness of Association Rules (Abstract)

B. Shekar , Indian Institute of Management Bangalore
Rajesh Natarajan , Indian Institute of Management Lucknow
pp. 194-201

Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining (Abstract)

Angelo Ciaramella , Universit? di Salerno, Italy
Roberto Tagliaferri , Universit? di Salerno, Italy
Giuseppe Longo , Universit? Federico II di Napoli and INFN Napoli Unit, Italy
Gennaro Miele , Universit? Federico II di Napoli and INFN Napoli Unit, Italy
Giancarlo Raiconi , Universit? di Salerno, Italy
Roberto Amato , Universit? Federico II di Napoli and INFN Napoli Unit, Italy
Ciro Donalek , Universit? Federico II di Napoli and INFN Napoli Unit, Italy
Diego Di Bernardo , Telethon Institute for Genetics and Medicine, Italy
Antonino Staiano , Universit? di Salerno, Italy
Lara De Vinco , Universit? di Salerno, Italy
pp. 202-208

On Local Spatial Outliers (Abstract)

Sanjay Chawla , University of Sydney, Australia
Pei Sun , University of Sydney, Australia
pp. 209-216

MMAC: A New Multi-Class, Multi-Label Associative Classification Approach (Abstract)

Yonghong Peng , University of Bradford, UK
Fadi A. Thabtah , Modelling Optimisation
Peter Cowling , Modelling Optimisation
pp. 217-224

Analysis of Consensus Partition in Cluster Ensemble (Abstract)

Ana L. Fred , Instituto Superior Tecnico, Lisbon, Portugal
Anil K. Jain , Michigan State University, East Lansing
Martin H. C. Law , Michigan State University, East Lansing
Alexander P. Topchy , Michigan State University, East Lansing
pp. 225-232

Privacy-Preserving Outlier Detection (Abstract)

Jaideep Vaidya , Rutgers University, Newark, NJ
Chris Clifton , Rutgers University, Newark, NJ
pp. 233-240

SUMMARY: Efficiently Summarizing Transactions for Clustering (Abstract)

George Karypis , University of Minnesota, Minneapolis
Jianyong Wang , University of Minnesota, Minneapolis
pp. 241-248

Bottom-Up Generalization: A Data Mining Solution to Privacy Protection (Abstract)

Sourav Chakraborty , Simon Fraser University
Philip S. Yu , IBM T. J. Watson Research Center
Ke Wang , Simon Fraser University
pp. 249-256

A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New Attributes (Abstract)

Wai Lam , The Chinese University of Hong Kong, Shatin
Tak-Lam Wong , The Chinese University of Hong Kong, Shatin
pp. 257-264

Aligning Boundary in Kernel Space for Learning Imbalanced Dataset (Abstract)

Gang Wu , University of California, Santa Barbara
Edward Y. Chang , University of California, Santa Barbara
pp. 265-272

IRC: An Iterative Reinforcement Categorization Algorithm for Interrelated Web Objects (Abstract)

Zheng Chen , Microsoft Research Asia, Beijing, P.R. China
Gui-Rong Xue , Shanghai Jiao-Tong University, P.R. China
Yong Yu , Shanghai Jiao-Tong University, P.R. China
Qiang Yang , Hong Kong University of Science and Technology
WenSi Xi , Virginia Polytechnic Institute and State University
Wei-Ying Ma , Microsoft Research Asia, Beijing, P.R. China
Dou Shen , TsingHua University, Beijing, P.R. China
Hua-Jun Zeng , Microsoft Research Asia, Beijing, P.R. China
pp. 273-280

A Polygonal Line Algorithm based Nonlinear Feature Extraction Method (Abstract)

Feng Zhang , Texas A&M University, College Station, Texas
pp. 281-288

Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning (Abstract)

Xingquan Zhu , University of Vermont, Burlington VT
Xindong Wu , University of Vermont, Burlington VT
pp. 297-304

Dynamic Classifier Selection for Effective Mining from Noisy Data Streams (Abstract)

Xingquan Zhu , University of Vermont, Burlington VT
Xindong Wu , University of Vermont, Burlington VT
Ying Yang , University of Vermont, Burlington VT
pp. 305-312
Short Papers

Using Emerging Patterns and Decision Trees in Rare-Class Classification (Abstract)

Kotagiri Ramamohanarao , The University of Melbourne, Australia
Hamad Alhammady , The University of Melbourne, Australia
pp. 315-318

Discovery of Functional Relationships in Multi-Relational Data using Inductive Logic Programming (Abstract)

Eugenio Oliveira , FEUP, Rua Dr Roberto Frias, Portugal
Rui Camacho , FEUP, Rua Dr Roberto Frias, Portugal
Alexessander Alves , LIACC, Rua do Campo Alegre, Portugal
pp. 319-322

Attribute Measurement Policies for Time and Cost Sensitive Classification (Abstract)

Andrew Arnt , University of Massachusetts at Amherst
Shlomo Zilberstein , University of Massachusetts at Amherst
pp. 323-326

Text Classification by Boosting Weak Learners based on Terms and Concepts (Abstract)

Stephan Bloehdorn , University of Karlsruhe, Germany
Andreas Hotho , University of Kassel, Germany
pp. 331-334

Matching in Frequent Tree Discovery (Abstract)

Bj? Bringmann , University of Freiburg, Germany
pp. 335-338

A Biobjective Model to Select Features with Good Classification Quality and Low Cost (Abstract)

Emilio Carrizosa , Universidad de Sevilla (Spain)
Dolores Romero Morales , University of Oxford (United Kingdom)
Belen Martin-Barragan , Universidad de Sevilla (Spain)
pp. 339-342

Incremental Mining of Frequent XML Query Patterns (Abstract)

Liang Huai Yang , Peking Univerity
Yi Chen , Chinese Academy of Sciences
Yu Guo Wang , Chinese Academy of Sciences
pp. 343-346

Spam Filtering using a Markov Random Field Model with Variable Weighting Schemas (Abstract)

William S. Yerazunis , MERL, Cambridge, Massachusetts
Shalendra Chhabra , UC Riverside, CA
Christian Siefkes , GKVI/FU Berlin, Germany
pp. 347-350

An Adaptive Learning Approach for Noisy Data Streams (Abstract)

Yizhou Wang , University of California, Los Angeles
Fang Chu , University of California, Los Angeles
Carlo Zaniolo , University of California, Los Angeles
pp. 351-354

Scalable Multi-Relational Association Mining (Abstract)

Nicholas Lester , RMIT University, Melbourne, Australia
Hugh E. Williams , RMIT University, Melbourne, Australia
Amanda Clare , University of Wales Aberystwyth, UK
pp. 355-358

An Evaluation of Approaches to Classification Rule Selection (Abstract)

Paul Leng , The University of Liverpool, UK
Frans Coenen , The University of Liverpool, UK
pp. 359-362

Mining Frequent Closed Patterns in Microarray Data (Abstract)

Kian-Lee Tan , National University of Singapore
Anthony K. H. Tung , National University of Singapore
Feng Pan , National University of Singapore
Gao Cong , National University of Singapore
pp. 363-366

Clustering on Demand for Multiple Data Streams (Abstract)

Jen-Wei Huang , National Taiwan University, Taipei
Ming-Syan Chen , National Taiwan University, Taipei
Bi-Ru Dai , National Taiwan University, Taipei
Mi-Yen Yeh , National Taiwan University, Taipei
pp. 367-370

Extensible Markov Model (Abstract)

Yu Meng , Southern Methodist University, Dallas, Texas
Jie Huang , The University of Texas Southwestern, Dallas, Texas
Margaret H. Dunham , Southern Methodist University, Dallas, Texas
pp. 371-374

Using Representative-Based Clustering for Nearest Neighbor Dataset Editing (Abstract)

Christoph F. Eick , University of Houston
Nidal Zeidat , University of Houston
Ricardo Vilalta , University of Houston
pp. 375-378

Decision Tree Evolution Using Limited Number of Labeled Data Items from Drifting Data Streams (Abstract)

Wei Fan , IBM T. J. Watson Research, Hawthorne, NY
Yi-an Huang , Georgia Institute of Technology, Atlanta, GA
Philip S. Yu , IBM T. J. Watson Research, Hawthorne, NY
pp. 379-382

LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets (Abstract)

Amol Ghoting , The Ohio State University
Srinivasan Parthasarathy , The Ohio State University
Matthew Eric Otey , The Ohio State University
pp. 387-390

SVD based Term Suggestion and Ranking System (Abstract)

Leonid Zhukov , Yahoo! Research Labs, Pasadena, CA
David Gleich , Harvey Mudd College, Claremont, CA
pp. 391-394

The Anatomy of a Hierarchical Clustering Engine for Web-page, News and Book Snippets (Abstract)

Antonio Gull? , Universit? di Pisa, Italy
Paolo Ferragina , Universit? di Pisa, Italy
pp. 395-398

Query-Driven Support Pattern Discovery for Classification Learning (Abstract)

Yiqiu Han , The Chinese University of Hong Kong
Wai Lam , The Chinese University of Hong Kong
pp. 399-402

Evolutionary Algorithms for Clustering Gene-Expression Data (Abstract)

Eduardo R. Hruschka , Universidade Cat?lica de Santos (UniSantos)
Ricardo J. G. B. Campello , Universidade Cat?lica de Santos (UniSantos)
Leandro N. de Castro , Universidade Cat?lica de Santos (UniSantos)
pp. 403-406

Mining Ratio Rules Via Principal Sparse Non-Negative Matrix Factorization (Abstract)

Wei-Ying Ma , Microsoft Research Asia, Beijing
Shuicheng Yan , LMAM, Peking University, Beijing, P.R. China
Zheng Chen , Microsoft Research Asia, Beijing
Qiang Yang , Hong Kong University of Science and Technology
Jun Yan , LMAM, Peking University, Beijing, P.R. China
Benyu Zhang , Microsoft Research Asia, Beijing
Chenyong Hu , Institute of Software, CAS, Beijing, P.R. China
pp. 407-410

Feature Selection via Supervised Model Construction (Abstract)

Y. Huang , University of Ulster, UK
P. J. McCullagh , University of Ulster, UK
N. D. Black , University of Ulster, UK
pp. 411-414

Mining Generalized Substructures from a Set of Labeled Graphs (Abstract)

Akihiro Inokuchi , Tokyo Research Laboratory, IBM Japan
pp. 415-418

Filling-in Missing Objects in Orders (Abstract)

Toshihiro Kamishima , National Institute of Advanced Industrial Science and Technology (AIST), Japan
Shotaro Akaho , National Institute of Advanced Industrial Science and Technology (AIST), Japan
pp. 423-426

Orthogonal Decision Trees (Abstract)

Hillol Kargupta , University of Maryland Baltimore County
Haimonti Dutta , University of Maryland Baltimore County
pp. 427-430

Integrating Multi-Objective Genetic Algorithms into Clustering for Fuzzy Association Rules Mining (Abstract)

Reda Alhajj , University of Calgary, Canada
Mehmet Kaya , Firat University, Turkey
pp. 431-434

Feature-Based Prediction of Unknown Preferences for Nearest-Neighbor Collaborative Filtering (Abstract)

Hyungil Kim , Dongguk University, Seoul, Korea
Juntae Kim , Dongguk University, Seoul, Korea
Jonathan Herlocker , Oregon State University, Corvallis, Oregon
pp. 435-438

GREW-A Scalable Frequent Subgraph Discovery Algorithm (Abstract)

George Karypis , University of Minnesota
Michihiro Kuramochi , University of Minnesota
pp. 439-442

Predicting Density-Based Spatial Clusters Over Time (Abstract)

Nga T. Nguyen , University of St. Thomas, St. Paul, MN
Chih Lai , University of St. Thomas, St. Paul, MN
pp. 443-446

Dynamic Daily-Living Patterns and Association Analyses in Tele-Care Systems (Abstract)

N. P. Clarke , University of Bristol, UK
T. P. Martin , University of Bristol, UK
B.-S. Lee , University of Bristol, UK
B. Majeed , British Telecom PLC, UK
D. Nauck , British Telecom PLC, UK
pp. 447-450

Mining Temporal Patterns Without Predefined Time Windows (Abstract)

Tao Li , Florida International University, Miami, FL
Sheng Ma , IBM T. J. Watson Research Center, Hawthorne, NY
pp. 451-454

Classifying Biomedical Citations without Labeled Training Examples (Abstract)

Rohit Joshi , National University of Singapore
Tze-Yun Leong , Singapore MIT Alliance
Xiaoli Li , Singapore MIT Alliance
Sreeram Ramachandaran , National University of Singapore
pp. 455-458

Improving the Reliability of Decision Tree and Naive Bayes Learners (Abstract)

Si? Cox , University of London, UK
David Lindsay , University of London, UK
pp. 459-462

Revealing True Subspace Clusters in High Dimensions (Abstract)

Wei Wang , University of North Carolina, Chapel Hill
Jinze Liu , University of North Carolina, Chapel Hill
Karl Strohmaier , University of North Carolina, Chapel Hill
pp. 463-466

An Adaptive Density-Based Clustering Algorithm for Spatial Database with Noise (Abstract)

Aidong Zhang , State University of New York at Buffalo
Daoying Ma , State University of New York at Buffalo
pp. 467-470

Finding Constrained Frequent Episodes Using Minimal Occurrences (Abstract)

Kian-Lee Tan , National University of Singapore
Xi Ma , National University of Singapore
HweeHwa Pang , Institute for Infocomm Research, Singapore
pp. 471-474

Estimation of False Negatives in Classification (Abstract)

San-Yih Hwang , National Sun-Yat-Sen University, Kaohsiung, Taiwan
Sandeep Mane , University of Minnesota, Minneapolis
Jaideep Srivastava , University of Minnesota, Minneapolis
Jamshid Vayghan , IBM Corporation, Minneapolis
pp. 475-478

Correlation Preserving Discretization (Abstract)

Sameep Mehta , The Ohio State University
Hui Yang , The Ohio State University
Srinivasan Parthasarathy , The Ohio State University
pp. 479-482

Active Feature-Value Acquisition for Classifier Induction (Abstract)

Raymond Mooney , Univ. of Texas at Austin
Prem Melville , Univ. of Texas at Austin
Maytal Saar-Tsechansky , Univ. of Texas at Austin
Foster Provost , New York University
pp. 483-486

Privacy-Sensitive Bayesian Network Parameter Learning (Abstract)

D. Meng , Washington State University, Pullman, WA
H. Kargupta , UMBC, Baltimore, MD
K. Sivakumar , Washington State University, Pullman, WA
pp. 487-490

MMSS: Multi-Modal Story-Oriented Video Summarization (Abstract)

Jia-Yu Pan , Carnegie Mellon University
Hyungjeong Yang , Carnegie Mellon University
Christos Faloutsos , Carnegie Mellon University
pp. 491-494

A Comparative Study of Linear and Nonlinear Feature Extraction Methods (Abstract)

Haesun Park , University of Minnesota, Minneapolis
Panos Pardalos , University of Florida, Gainesville
Cheong Hee Park , University of Minnesota, Minneapolis
pp. 495-498

SVM and Graphical Algorithms: A Cooperative Approach (Abstract)

Fran?ois Poulet , ESIEA - P?le ECD, France
pp. 499-502

RDF: A Density-Based Outlier Detection Method using Vertical Data Representation (Abstract)

Baoying Wang , North Dakota State University, Fargo
Dongmei Ren , North Dakota State University, Fargo
William Perrizo , North Dakota State University, Fargo
pp. 503-506

Quantitative Association Rules Based on Half-Spaces: An Optimization Approach (Abstract)

Lothar Richter , Technische Universit?t M?nchen, Germany
Ulrich R?ckert , Technische Universit?t M?nchen, Germany
Stefan Kramer , Technische Universit?t M?nchen, Germany
pp. 507-510

Efficient Relationship Pattern Mining Using Multi-Relational Iceberg-Cubes (Abstract)

Dawit Yimam Seid , University of California, Irvine
Sharad Mehrotra , University of California, Irvine
pp. 515-518

Cluster Cores-Based Clustering for High Dimensional Data (Abstract)

Zhi-Yong Shen , Chinese Academy of Sciences, China
Shi-Ming Zhang , Chinese Academy of Sciences, China
Yi-Dong Shen , Chinese Academy of Sciences, China
Qiang Yang , Hong Kong Univ. of Sci. & Technology, Hong Kong
pp. 519-522

Metric Incremental Clustering of Nominal Data (Abstract)

Dan Simovici , University of Massachusetts at Boston
Namita Singla , University of Massachusetts at Boston
Michael Kuperberg , Karlsruhe University, Germany
pp. 523-526

Learning Conditional Independence Tree for Ranking (Abstract)

Jiang Su , University of New Brunswick, Canada
Harry Zhang , University of New Brunswick, Canada
pp. 531-534

Supervised Latent Semantic Indexing for Document Categorization (Abstract)

Yu-Chang Lu , TsingHua University, Beijing, P.R. China
Zheng Chen , Microsoft Research Asia, P.R. China
Jian-Tao Sun , TsingHua University, Beijing, P.R. China
Wei-Ying Ma , Microsoft Research Asia, P.R. China
Chun-Yi Shi , TsingHua University, Beijing, P.R. China
Hua-Jun Zeng , Microsoft Research Asia, P.R. China
pp. 535-538

Sparse Kernel Least Squares Classifier (Abstract)

Ping Sun , The University of Birmingham, UK
pp. 539-542

DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree Databases (Abstract)

Mich?le Sebag , INRIA (Futurs), France
Marie-Christine Rousset , INRIA (Futurs), France
Alexandre Termier , INRIA (Futurs), France
pp. 543-546

A Greedy Algorithm for Selecting Models in Ensembles (Abstract)

Robert L. Grossman , University of Illinois at Chicago, USA
Andrei L. Turinsky , University of Calgary, Canada
pp. 547-550

Mining Web Data to Create Online Navigation Recommendations (Abstract)

Terumasa Aoki , University of Tokyo, Japan
Alejandro Bassi , University of Tokyo, Japan; University of Chile
Hiroshi Yasuda , University of Tokyo, Japan
Juan D. Vel?squez , University of Tokyo, Japan; University of Chile
pp. 551-554

Alpha Galois Lattices (Abstract)

Thibaut Lamadon , Universit? Paris-Sud, France
Henry Soldano , Universit? Paris-Nord, France
V?ronique Ventos , Universit? Paris-Sud, France
pp. 555-558

AGILE: A General Approach to Detect Transitions in Evolving Data Streams (Abstract)

Jiong Yang , Case Western Reserve University
Wei Wang , University of North Carolina at Chapel Hill
pp. 559-562

Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining (Abstract)

Xiaolei Li , University of Illinois at Urbana-Champaign
Hwanjo Yu , University of Illinois at Urbana-Champaign
Jiawei Han , University of Illinois at Urbana-Champaign
Duane Searsmith , University of Illinois at Urbana-Champaign
pp. 563-566

Learning Weighted Naive Bayes with Accurate Ranking (Abstract)

Harry Zhang , University of New Brunswick, Canada
Shengli Sheng , University of Western Ontario, Canada
pp. 567-570

Learning Rules from Highly Unbalanced Data Sets (Abstract)

Eric Bloedorn , MITRE Corporation, McLean, Virginia
Daniel Venese , MITRE Corporation, McLean, Virginia
Jianping Zhang , AOL, Inc., Dulles, VA
Lowell Rosen , MITRE Corporation, McLean, Virginia
pp. 571-574

Relational Peculiarity Oriented Data Mining (Abstract)

Chunnian Liu , Beijing University of Technology, China
Jiajin Huang , Beijing University of Technology, China
Y. Y. Yao , University of Regina, Canada
Ning Zhong , Maebashi Institute of Technology, Japan
Mingxin Huang , Beijing University of Technology, China
Muneaki Ohshima , Maebashi Institute of Technology, Japan
pp. 575-578

Author Index (PDF)

pp. 583-585
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