CSDL - Proceedings I

Message from the Program Chairs (PDF)

pp. xv

Conference Organization (PDF)

pp. xvii

Steering Committee (PDF)

pp. xviii

Program Committee (PDF)

pp. xix

Non-PC Reviewers (PDF)

pp. xxi

Regular Papers

On Effective Conceptual Indexing and Similarity Search in Text Data (Abstract)

Charu C. Aggarwal

Philip S. Yu

pp. 3

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Comparisons of Classification Methods for Screening Potential Compounds (Abstract)

Aijun An

Yuanyuan Wang

pp. 11

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Knowledge Discovery from Diagrammatically Represented Data (Abstract)

Michael Anderson

pp. 19

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Integrating E-Commerce and Data Mining: Architecture and Challenges (Abstract)

pp. 27

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Classification with Degree of Membership: A Fuzzy Approach (Abstract)

Wai-Ho Au

Keith C.C Chan

pp. 35

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Provably Fast Training Algorithms for Support Vector Machines (Abstract)

pp. 43

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Who Links to Whom: Mining Linkage between Web Sites (Abstract)

pp. 51

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Better Rules, Few Features: A Semantic Approach to Selecting Features from Text (Abstract)

Catherine Blake

Wanda Pratt

pp. 59

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Significance Tests for Patterns in Continuous Data (Abstract)

Richard J. Bolton

David J. Hand

pp. 67

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Distributed Web Mining Using Bayesian Networks from Multiple Data Streams (Abstract)

R. Chen

K. Sivakumar

H. Kargupta

pp. 75

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A Hypergraph Based Clustering Algorithm for Spatial Data Sets (Abstract)

Jong-Sheng Cherng

Mei-Jung Lo

pp. 83

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Efficient Determination of Dynamic Split Points in a Decision Tree (Abstract)

David Maxwell Chickering

Christopher Meek

Robert Rounthwaite

pp. 91

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Efficient Yet Accurate Clustering (Abstract)

pp. 99

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A Min-max Cut Algorithm for Graph Partitioning and Data Clustering (Abstract)

Ming Gu

pp. 107

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Preprocessing Opportunities in Optimal Numerical Range Partitioning (Abstract)

Tapio Elomaa

Juho Rousu

pp. 115

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Using Artificial Anomalies to Detect Unknown and Known Network Intrusions (Abstract)

Wei Fan

pp. 123

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Using Rule Sets to Maximize ROC Performance (Abstract)

Tom Fawcett

pp. 131

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A Synchronization Based Algorithm for Discovering Ellipsoidal Clusters in Large Datasets (Abstract)

Hichem Frigui

Mohamed Ben Hadji Rhouma

pp. 139

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Functional Trees for Classification (Abstract)

João Gama

pp. 147

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A Tight Upper Bound on the Number of Candidate Patterns (Abstract)

pp. 155

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Efficiently Mining Maximal Frequent Itemsets (Abstract)

Karam Gouda

Mohammed J. Zaki

pp. 163

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The DIAsDEM Framework for Converting Domain-Specific Texts into XML Documents with Data Mining Techniques (Abstract)

pp. 171

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A Scalable Algorithm for Clustering Sequential Data (Abstract)

Valerie Guralnik

George Karypis

pp. 179

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Clustering Validity Assessment: Finding the Optimal Partitioning of a Data Set (Abstract)

Maria Halkidi

Michalis Vazirgiannis

pp. 187

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Automatic Topic Identification Using Webpage Clustering (Abstract)

pp. 195

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Time Series Segmentation for Context Recognition in Mobile Devices (Abstract)

pp. 203

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Indiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure (Abstract)

Shoji Hirano

Shusaku Tsumoto

pp. 211

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Mining Coverage-Based Fuzzy Rules by Evolutional Computation (Abstract)

Tzung-Pei Hong

Yeong-Chyi Lee

pp. 218

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An Efficient Fuzzy C-Means Clustering Algorithm (Abstract)

Ming-Chuan Hung

Don-Lin Yang

pp. 225

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Using Rough Sets Theory and Database Operations to Construct a Good Ensemble of Classifiers for Data Mining Applications (Abstract)

Xiaohua Hu

pp. 233

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Fuzzy Data Mining: Effect of Fuzzy Discretization (Abstract)

pp. 241

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The Computational Complexity of High-Dimensional Correlation Search (Abstract)

Christopher Jermaine

pp. 249

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Evaluating Boosting Algorithms to Classify Rare Classes: Comparison and Improvements (Abstract)

pp. 257

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An Agglomerative Hierarchical Clustering Using Partial Maximum Array and Incremental Similarity Computation Method (Abstract)

Sung Jung

Taek-Soo Kim

pp. 265

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Distance Measures for Effective Clustering of ARIMA Time-Series (Abstract)

Konstantinos Kalpakis

Dhiral Gada

Vasundharu Puttagunta

pp. 273

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Mining Decision Trees from Data Streams in a Mobile Environment (Abstract)

Hillol Kargupta

Byung-Hoon Park

pp. 281

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An Online Algorithm for Segmenting Time Series (Abstract)

pp. 289

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AINE: An Immunological Approach to Data Mining (Abstract)

Thomas Knight

Jon Timmis

pp. 297

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Concise Representation of Frequent Patterns Based on Disjunction-Free Generators (Abstract)

Marzena Kryszkiewicz

pp. 305

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Frequent Subgraph Discovery (Abstract)

Michihiro Kuramochi

George Karypis

pp. 313

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Statistical Considerations in Learning from Data (Abstract)

Henry E. Kyburg Jr

pp. 321

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Subject Classification in the Oxford English Dictionary (Abstract)

Zarrin Langari

Frank Wm. Tompa

pp. 329

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On Mining General Temporal Association Rules in a Publication Database (Abstract)

pp. 337

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Preparations for Semantics-Based XML Mining (Abstract)

Jung-Won Lee

Kiho Lee

Won Kim

pp. 345

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Mining Image Features for Efficient Query Processing (Abstract)

pp. 353

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Mining the Smallest Association Rule Set for Predictions (Abstract)

pp. 361

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CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules (Abstract)

pp. 369

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Analyzing the Interestingness of Association Rules from the Temporal Dimension (Abstract)

pp. 377

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Closing the Loop: An Agenda- and Justification-Based Framework for Selecting the Next Discovery Task to Perform (Abstract)

pp. 385

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Closing the Loop: Heuristics for Autonomous Discovery (Abstract)

pp. 393

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Anchor Text Mining for Translation of Web Queries (Abstract)

pp. 401

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Mining Mutually Dependent Patterns (Abstract)

Sheng Ma

Josheph Hellerstein

pp. 409

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The EQ Framework for Learning Equivalence Classes of Bayesian Networks (Abstract)

Paul Munteanu

Mohamed Bendou

pp. 417

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Visualizing Association Mining Results through Hierarchical Clusters (Abstract)

pp. 425

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Mining Constrained Association Rules to Predict Heart Disease (Abstract)

Elizabeth Krawczynska

Eenest V. Garcia

pp. 433

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H-Mine: Hyper-Structure Mining of Frequent Patterns in Large Databases (Abstract)

pp. 441

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FARM: A Framework for Exploring Mining Spaces with Multiple Attributes (Abstract)

Chang-Shing Perng

Haixun Wang

Sheng Ma

Josheph L. Hellerstein

pp. 449

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Neural Analysis of Mobile Radio Access Network (Abstract)

pp. 457

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Discovery of Association Rules in Tabular Data (Abstract)

G. Richards

V. J Rayward-Smith

pp. 465

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Theory and Applications of Attribute Decomposition (Abstract)

Lior Rokach

Oded Mainon

pp. 473

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FlExPat: Flexible Extraction of Sequential Patterns (Abstract)

Pierre-Yves Rolland

pp. 481

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Interestingness PreProcessing (Abstract)

Sigal Sahar

pp. 489

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Data Analysis and Mining in Ordered Information Tables (Abstract)

pp. 497

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LPMiner: An Algorithm for Finding Frequent Itemsets Using Length-Decreasing Support Constraint (Abstract)

Masakazu Seno

George Karypis

pp. 505

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Document Clustering and Cluster Topic Extraction in Multilingual Corpora (Abstract)

pp. 513

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Hierarchical Text Classification and Evaluation (Abstract)

Aixin Sun

Ee-Peng Lim

pp. 521

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Web Cartography for Online State Promotion: An Algorithm for Clustering Web Resources (Abstract)

pp. 529

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Maintenance of Sequential Patterns for Record Deletion (Abstract)

pp. 536

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SSDT: A Scalable Subspace-Splitting Classifier for Biased Data (Abstract)

Haixun Wang

Philip S. Yu

pp. 542

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Meta-patterns: Revealing Hidden Periodic Patterns (Abstract)

pp. 550

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Using Boosting to Simplify Classification Models (Abstract)

Virginia Wheway

pp. 558

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Interestingness, Peculiarity, and Multi-database Mining (Abstract)

pp. 566

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Posters

Fernando Alonso

Juan P. Caraça-Valente

Loïc Martínez

Cesar Montes

pp. 577

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Efficient Splitting Rules Based on the Probabilities of Pre-assigned Intervals (PDF)

Creating Ensembles of Classifiers (PDF)

pp. 580

Association Rules Enhanced Classification of Underwater Acoustic Signal (PDF)

pp. 582

pp. 584

Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data (Abstract)

Honghua Dai

Xiaoshu Hang

Gang Li

pp. 586

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Incremental Support Vector Machine Construction (Abstract)

Carlotta Domeniconi

Dimitrios Gunopulos

pp. 589

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Mining Generalized Association Rules for Sequential and Path Data (Abstract)

Wolfgang Gaul

Lars Schmidt-Thieme

pp. 593

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Combining Labeled and Unlabeled Data for Text Classification with a Large Number of Categories (PDF)

Rayid Ghani

pp. 597

Dependency Derivation in Industrial Process Data (Abstract)

Daniel Gillblad

Aanders Holst

pp. 599

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Discovering Representative Episodal Association Rules from Event Sequences Using Frequent Closed Episode Sets and Event Constraints (Abstract)

pp. 603

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Text Clustering Based on Good Aggregations (PDF)

pp. 607

Ad Hoc Association Rule Mining as SQL3 Queries (Abstract)

Hasan M. Jamil

pp. 609

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Heuristic Optimization for Decentralized Frequent Itemset Counting (PDF)

Viviane Crestana Jensen

Nandit Soparkar

pp. 613

Evolutionary Structure Learning Algorithm for Bayesian Network and Penalized Mutual Information Metric (PDF)

Gang Li

Fu Tong

Honghua Dai

pp. 615

Applications of Data Mining in Hydrology (Abstract)

Xu Liang

Yao Liang

pp. 617

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RPCL-Based Local PCA Algorithm (PDF)

Zhiyong Liu

Lei Xu

pp. 621

Learning Automatic Acquisition of Subcategorization Frames Using Bayesian Inference and Support Vector Machines (Abstract)

pp. 623

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Bayesian Data Mining on the Web with B-Course (Abstract)

pp. 626

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An Experimental Comparison of Supervised and Unsupervised Approaches to Text Summarization (Abstract)

Tadashi Nomoto

Yuji Matsumoto

pp. 630

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A Fast Algorithm to Cluster High Dimensional Basket Data (Abstract)

pp. 633

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Metric Rule Generation with Septic Shock Patient Data (PDF)

Jürgen Paetz

pp. 637

The Representative Basis for Association Rules (PDF)

Veit Phan-Luong

pp. 639

Incremental Learning with Support Vector Machines (PDF)

Stefan Rüping

pp. 641

A Clustering Method for Very Large Mixed Data Sets (PDF)

Guillermo Sánchez-Díaz

José Ruiz-Shulcloper

pp. 643

Gregory Piatetsky-Shapiro

Mining the Web with Active Hidden Markov Models (PDF)

pp. 645

A Simple KNN Algorithm for Text Categorization (PDF)

pp. 647

Measuring Real-Time Predictive Models (PDF)

Samuel Steingold

Richard Wherry

pp. 649

Incremental Learning of Bayesian Networks with Hidden Variables (PDF)

pp. 651

Mining Frequent Closed Itemsets with the Frequent Pattern List (PDF)

pp. 653

Classification through Maximizing Density (PDF)

Hui Wan

Diu Liu

pp. 655

An Immune Neural Network Used for Classification (PDF)

pp. 657

a -Surface and Its Application to Mining Protein Data (Abstract)

Xiong Wang

pp. 659

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An Efficient Data Mining Technique for Discovering Interesting Sequential Patterns (PDF)

pp. 663

Fast Parallel Association Rule Mining without Candidacy Generation (Abstract)

Osmar R. ZaÏane

Mohammad El-Hajj

Paul Lu

pp. 665

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A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods (PDF)

pp. 669

Mining California Vital Statistics Data (PDF)

Quoc Ha

pp. 671

A Pattern Decomposition (PD) Algorithm for Finding All Frequent Patterns in Large Datasets (PDF)

pp. 673

Author Index (PDF)

pp. 0675