| - Time Series / Session 1A： |
| Scaling up Dynamic Time Warping to Massive Dataset / E.J. Keogh ; M.J. Pazzani |
| The Haar Wavelet Transform in the Time Series Similarity Paradigm / Z.R. Struzik ; A. Siebes |
| Rule Discovery in Large Time-Series Medical Databases / S. Tsumoto |
| - Applications / Session 1B： |
| Simultaneous Prediction of Multiple Chemical Parameters of River Water Quality with TILDE / H. Blockeel ; S. Džeroski ; J. Grbović |
| Applying Data Mining Techniques to Wafer Manufacturing / E. Bertino ; B. Catania ; E. Caglio |
| An Application of Data Mining to the Problem of the University Students' Dropout Using Markov Chains / S. Massa ; P.P. Puliafito |
| - Taxonomies and Partitions / Session 2A： |
| Discovering and Visualizing Attribute Associations Using Bayesian Networks and Their Use in KDD / G. Masuda ; R. Yano ; N. Sakamoto ; K. Ushijima |
| Taxonomy Formation by Approximate Equivalence Relations, Revisited / F.A. El-Mouadib ; J. Koronacki ; J.M. Żytkow |
| On the Use of Self-Organizing Maps for Clustering and Visualization / A. Flexer |
| Speeding Up the Search for Optimal Partitions / T. Elomaa ; J. Rousu |
| - Logic Methods / Session 2B： |
| Experiments in Meta-level Learning with ILP / L. Todorovski |
| Boolean Reasoning Scheme with Some Applications in Data Mining / A. Skowron ; H.S. Nguyen |
| On the Correspondence between Classes of Implicational and Equivalence Quantifiers / J. Ivánek |
| Querying Inductive Databases via Logic-Based User-Defined Aggregates / F. Giannotti ; G. Manco |
| - Distributed and Multirelational Databases / Session 3A： |
| Peculiarity Oriented Multi-database Mining / N. Zhong ; Y.Y. Yao ; S. Ohsuga |
| Knowledge Discovery in Medical Multi-databases: A Rough Set Approach |
| Automated Discovery of Rules and Exceptions from Distributed Databases Using Aggregates / R. Páircéir ; S. McClean ; B. Scotney |
| - Text Mining and Feature Selection / Session 3B： |
| Text Mining via Information Extraction / R. Feldman ; Y. Aumann ; M. Fresko ; O. Liphstat ; B. Rosenfeld ; Y. Schier |
| TopCat: Data Mining for Topic Identification in a Text Corpus / C. Clifton ; R. Cooley |
| Selection and Statistical Validation of Features and Prototypes / M. Sebban ; D.A. Zighed ; S. Di Palma |
| - Rules and Induction / Session 4A： |
| Taming Large Rule Models in Rough Set Approaches / T. Ågotnes ; J. Komorowski ; T. Løken |
| Optimizing Disjunctive Association Rules / D. Zelenko |
| Contribution of Boosting in Wrapper Models / R. Nock |
| Experiments on a Representation-Independent "Top-Down and Prune" Induction Scheme / P. Jappy |
| - Interesting and Unusual / Session 5A： |
| Heuristic Measures of Interestingness / R.J. Hilderman ; H.J. Hamilton |
| Enhancing Rule Interestingness for Neuro-fuzzy Systems / T. Wittmann ; J. Ruhland ; M. Eichholz |
| Unsupervised Profiling for Identifying Superimposed Fraud / U. Murad ; G. Pinkas |
| OPTICS-OF: Identifying Local Outliers / M.M. Breunig ; H.-P. Kriegel ; R.T. Ng ; J. Sander |
| Posters |
| Selective Propositionalization for Relational Learning / É. Alphonse ; C. Rouveirol |
| Circle Graphs: New Visualization Tools for Text-Mining / Y.B. Yehuda ; D. Landau ; Y. Schler |
| On the Consistency of Information Filters for Lazy Learning Algorithms / H. Brighton ; C. Mellish |
| Using Genetic Algorithms to Evolve a Rule Hierarchy / R. Cattral ; F. Oppacher ; D. Deugo |
| Mining Temporal Features in Association Rules / X. Chen ; I. Petrounias |
| The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning / F. Coenen ; G. Swinnen ; K. Vanhoof ; G. Wets |
| Analyzing an Email Collection Using Formal Concept Analysis / R. Cole ; P. Eklund |
| Business Focused Evaluation Methods: A Case Study / P. Datta |
| Combining Data and Knowledge by MaxEnt-Optimization of Probability Distributions / W. Ertel ; M. Schramm |
| Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation? / A. Feelders |
| Rough Dependencies as a Particular Case of Correlation: Application to the Calculation of Approximative Reducts / M.C. Fernandez-Baizán ; E. Menasalvas Ruiz ; J.M. Peña Sánchez ; S. Millán ; E. Mesa |
| A Fuzzy Beam-Search Rule Induction Algorithm / C.S. Fertig ; A.A. Freitas ; L.V.R. Arruda ; C. Kaestner |
| An Innovative GA-Based Decision Tree Classifier in Large Scale Data Mining / Z. Fu |
| Extension to C-means Algorithm for the Use of Similarity Functions / J.R. García-Serrano ; J.F. Martínez-Trinidad |
| Predicting Chemical Carcinogenesis Using Structural Information Only / C.J. Kennedy ; C. Giraud-Carrier ; D.W. Bristol |
| LA - A Clustering Algorithm with an Automated Selection of Attributes, which Is Invariant to Functional Transformations of Coordinates / M.V. Kiselev ; S.M. Ananyan ; S.B. Arseniev |
| Association Rule Selection in a Data Mining Environment / M. Klemettinen ; H. Mannila ; A.I. Verkamo |
| Multi-relational Decision Tree Induction / A.J. Knobbe ; D. van der Wallen |
| Learning of Simple Conceptual Graphs from Positive and Negative Examples / S.O. Kuznetsov |
| An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction / W. Kwedlo ; M. Kr&ecedil;towski |
| ZigZag, a New Clustering Algorithm to Analyze Categorical Variable Cross-Classification Tables / S. Lallich |
| Efficient Mining of High Confidence Association Rules without Support Thresholds / J. Li ; X. Zhang ; G. Dong ; K. Ramamohanarao ; Q. Sun |
| A Logical Approach to Fuzzy Data Analysis / C.-J. Liau ; D.-R. Liu |
| AST: Support for Algorithm Selection with a CBR Approach / G. Lindner ; R. Studer |
| Efficient Shared Near Neighbours Clustering of Large Metric Data Sets / S. Lodi ; L. Reami ; C. Sartori |
| Discovery of "Interesting" Data Dependencies from a Workload of SQL Statements / S. Lopes ; J.-M. Petit ; F. Toumani |
| Learning from Highly Structured Data by Decomposition / R. Mac Kinney-Romero |
| Combinatorial Approach for Data Binarization / E. Mayoraz ; M. Moreira |
| Extending Attribute-Oriented Induction as a Key-Preserving Data Mining Method / M.K. Muyeba ; J.A. Keane |
| Automated Discovery of Polynomials by Inductive Genetic Programming / N. Nikolaev ; H. Iba |
| Diagnosing Acute Appendicitis with Very Simple Classification Rules / A. Øhrn |
| Rule Induction in Cascade Model Based on Sum of Squares Decomposition / T. Okada |
| Maintenance of Discovered Knowledge / M. Pěchouček ; O. Štěpánková ; P. Mikšovský |
| A Divisive Initialization Method for Clustering Algorithms / C. Pizzuti ; D. Talia ; G. Vonella |
| A Comparison of Model Selection Procedures for Predicting Turning Points in Financial Time Series / T. Poddig ; K. Ruber |
| Mining Lemma Disambiguation Rules from Czech Corpora / L. Popelínský ; T. Pavelek |
| Adding Temporal Semantics to Association Rules / C.P. Rainsford ; J.F. Roddick |
| Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N Concept / R. Rakotomalala |
| Discovering Rules in Information Trees / Z.W. Ras |
| Mining Text Archives: Creating Readable Maps to Structure and Describe Document Collections / A. Rauber ; D. Merkl |
| Neuro-fuzzy Data Mining for Target Group Selection in Retail Banking |
| Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions / A.A. Savinov |
| Towards Discovery of Information Granules / J. Stepaniuk |
| Classification Algorithms Based on Linear Combinations of Features / D. Śl&ecedil;zak ; J. Wróblewski |
| Managing Interesting Rules in Sequence Mining / M. Spiliopoulou |
| Support Vector Machines for Knowledge Discovery / S. Sugaya ; E. Suzuki |
| Regression by Feature Projections / İ. Uysal ; H.A. Güvenir |
| Generating Linguistic Fuzzy Rules for Pattern Classification with Genetic Algorithms / N. Xiong ; L. Litz |
| Tutorials |
| Data Mining for Robust Business Intelligence Solutions / J. Mrazek |
| Query Languages for Knowledge Discovery in Databases / J.-F. Boulicaut |
| The ESPRIT Project CreditMine and Its Relevance for the Internet Market / S. Koühler ; M. Krieger |
| Logics and Statistics for Association Rules and Beyond / P. Hájek ; J. Rauch |
| Data Mining for the Web |
| Relational Learning and Inductive Logic Programming Made Easy / L. De Raedt |
| Author Index |
| - Time Series / Session 1A： |
| Scaling up Dynamic Time Warping to Massive Dataset / E.J. Keogh ; M.J. Pazzani |
| The Haar Wavelet Transform in the Time Series Similarity Paradigm / Z.R. Struzik ; A. Siebes |
図書
