Abstract is missing.
- Scaling up Dynamic Time Warping to Massive DatasetEamonn J. Keogh, Michael J. Pazzani. 1-11
- The Haar Wavelet Transform in the Time Series Similarity ParadigmZbigniew R. Struzik, Arno Siebes. 12-22
- Rule Discovery in Large Time-Series Medical DatabasesShusaku Tsumoto. 23-31
- Simultaneous Prediction of Mulriple Chemical Parameters of River Water Quality with TILDEHendrik Blockeel, Saso Dzeroski, Jasna Grbovic. 32-40
- Applying Data Mining Techniques to Wafer ManufacturingElisa Bertino, Barbara Catania, Eleonora Caglio. 41-50
- An Application of Data Mining to the Problem of the University Students Dropout Using Markov ChainsSilvia Massa, Pier Paolo Puliafito. 51-60
- Discovering and Visualizing Attribute Associations Using Bayesian Networks and Their Use in KDDGou Masuda, Rei Yano, Norihiro Sakamoto, Kazuo Ushijima. 61-70
- Taxonomy Formation by Approximate Equivalence Relations, RevisitedFaraj A. El-Mouadib, Jacek Koronacki, Jan M. Zytkow. 71-79
- On the Use of Self-Organizing Maps for Clustering and VisualizationArthur Flexer. 80-88
- Speeding Up the Search for Optimal PartitionsTapio Elomaa, Juho Rousu. 89-97
- Experiments in Meta-level Learning with ILPLjupco Todorovski, Saso Dzeroski. 98-106
- Boolean Reasoning Scheme with Some Applications in Data MiningAndrzej Skowron, Hung Son Nguyen. 107-115
- On the Correspondence between Classes of Implicational and Equivalence QuantifiersJirí Ivánek. 116-124
- Querying Inductive Databases via Logic-Based User-Defined AggregatesFosca Giannotti, Giuseppe Manco. 125-135
- Peculiarity Oriented Multi-database MiningNing Zhong, Yiyu Yao, Setsuo Ohsuga. 136-146
- Knowledge Discovery in Medical Multi-databases: A Rough Set ApproachShusaku Tsumoto. 147-155
- Automated Discovery of Rules and Exeptions from Distributed Databases Using AggregatesRónán Páircéir, Sally I. McClean, Bryan W. Scotney. 156-164
- Text Mining via Information ExtractionRonen Feldman, Yonatan Aumann, Moshe Fresko, Orly Liphstat, Binyamin Rosenfeld, Yonatan Schler. 165-173
- TopCat: Data Mining for Topic Identification in a Text CorpusChris Clifton, Robert Cooley. 174-183
- Selection and Statistical Validation of Features and PrototypesMarc Sebban, Djamel A. Zighed, S. Di Palma. 184-192
- Taming Large Rule Models in Rough Set ApproachesThomas Ågotnes, Henryk Jan Komorowski, Terje Løken. 193-203
- Optimizing Disjunctive Association RulesDmitry Zelenko. 204-213
- Contribution of Boosting in Wrapper ModelsMarc Sebban, Richard Nock. 214-222
- Experiments on a Representation-Independent Top-Down and Prune Induction SchemeRichard Nock, Marc Sebban, Pascal Jappy. 223-231
- Heuristic Measures of InterestingnessRobert J. Hilderman, Howard J. Hamilton. 232-241
- Enhancing Rule Interestingness for Neuro-fuzzy SystemsThomas Wittmann, Johannes Ruhland, Matthias Eichholz. 242-250
- Unsupervised Profiling for Identifying Superimposed FraudUzi Murad, Gadi Pinkas. 251-261
- OPTICS-OF: Identifying Local OutliersMarkus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jörg Sander. 262-270
- Selective Propositionalization for Relational LearningÉrick Alphonse, Céline Rouveirol. 271-276
- Circle Graphs: New Visualization Tools for Text-MiningYonatan Aumann, Ronen Feldman, Yaron Ben-Yehuda, David Landau, Orly Liphstat, Yonatan Schler. 277-282
- On the Consistency of Information Filters for Lazy Learning AlgorithmsHenry Brighton, Chris Mellish. 283-288
- Using Genetic Algorithms to Evolve a Rule HierarchyRobert Cattral, Franz Oppacher, Dwight Deugo. 289-294
- Mining Temporal Features in Association RulesXiaodong Chen, Ilias Petrounias. 295-300
- The Improvement of Response Modeling: Combining Rule-Induction and Case-Based ReasoningFilip Coenen, Gilbert Swinnen, Koen Vanhoof, Geert Wets. 301-308
- Analyzing an Email Collection Using Formal Concept AnalysisRichard J. Cole II, Peter W. Eklund. 309-315
- Bisiness Focused Evaluation Methods: A Case StudyPiew Datta. 316-322
- Combining Data and Knowledge by MaxEnt-Optimization of Probability DistributionsWolfgang Ertel, Manfred Schramm. 323-328
- Handling Missing Data in Trees: Surrogate Splits or Statistical ImputationA. J. Feelders. 329-334
- Rough Dependencies as a Particular Case of Correlation: Application to the Calculation of Approximative ReductsMaría C. Fernández-Baizán, Ernestina Menasalvas Ruiz, José M. Peña Sánchez, Socorro Millán, Eloina Mesa. 335-340
- A Fuzzy Beam-Search Rule Induction AlgorithmChristina S. Fertig, Alex Alves Freitas, Lucia V. R. Arruda, Celso A. A. Kaestner. 341-347
- An Innovative GA-Based Decision Tree Classifier in Large Scale Data MiningZhiwei Fu. 348-353
- Extension to C-means Algorithm for the Use of Similarity FunctionsJavier Raymundo García-Serrano, José Francisco Martínez Trinidad. 354-359
- Predicting Chemical Carcinogenesis Using Structural Information OnlyClaire J. Kennedy, Christophe G. Giraud-Carrier, Douglas W. Bristol. 360-365
- LA - A Clustering Algorithm with an Automated Selection of Attributes, wich is Invariant to Functional Transformations of CoordinatesMikhail V. Kiselev, Sergei M. Ananyan, Sergei B. Arseniev. 366-371
- Association Rule Selection in a Data Mining EnvironmentMika Klemettinen, Heikki Mannila, A. Inkeri Verkamo. 372-377
- Multi-relational Decision Tree InductionArno J. Knobbe, Arno Siebes, Danïel van der Wallen. 378-383
- Learning of Simple Conceptual Graphs from Positive and Negative ExamplesSergei O. Kuznetsov. 384-391
- An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule InductionWojciech Kwedlo, Marek Kretowski. 392-397
- ZigZag, a New Clustering Algorithm to Analyze Categorical Variable Cross-Classification TablesStéphane Lallich. 398-405
- Efficient Mining of High Confidience Association Rules without Support ThresholdsJinyan Li, Xiuzhen Zhang, Guozhu Dong, Kotagiri Ramamohanarao, Qun Sun. 406-411
- A Logical Approach to Fuzzy Data AnalysisChurn-Jung Liau, Duen-Ren Liu. 412-417
- AST: Support for Algorithm Selection with a CBR ApproachGuido Lindner, Rudi Studer. 418-423
- Efficient Shared Near Neighbours Clustering of Large Metric Data SetsStefano Lodi, Luisella Reami, Claudio Sartori. 424-429
- Discovery of Interesting Data Dependencies from a Workload of SQL StatementsStéphane Lopes, Jean-Marc Petit, Farouk Toumani. 430-435
- Learning from Highly Structured Data by DecompositionRené MacKinney-Romero, Christophe G. Giraud-Carrier. 436-441
- Combinatorial Approach for Data BinarizationEddy Mayoraz, Miguel Moreira. 442-447
- Extending Attribute-Oriented Induction as a Key-Preserving Data Mining MethodMaybin K. Muyeba, John A. Keane. 448-455
- Automated Discovery of Polynomials by Inductive Genetic ProgrammingNikolay I. Nikolaev, Hitoshi Iba. 456-461
- Diagnosing Acute Appendicitis with Very Simple Classification RulesAleksander Øhrn, Henryk Jan Komorowski. 462-467
- Rule Induction in Cascade Model Based on Sum of Squares DecompositionTakashi Okada. 468-474
- Maintenance of Discovered KnowledgeMichal Pechoucek, Olga Stepánková, Petr Miksovský. 476-483
- A Divise Initialisation Method for Clustering AlgorithmsClara Pizzuti, Domenico Talia, Giorgio Vonella. 484-491
- A Comparison of Model Selection Procedures for Predicting Turning Points in Financial Time SeriesThorsten Poddig, Claus Huber. 492-497
- Mining Lemma Disambiguation Rules from Czech CorporaLubos Popelínsky, Tomás Pavelek. 498-503
- Adding Temporal Semantics to Association RulesChris P. Rainsford, John F. Roddick. 504-509
- Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N ConceptRicco Rakotomalala, Stéphane Lallich, S. Di Palma. 510-517
- Discovering Rules in Information TreesZbigniew W. Ras. 518-523
- Mining Text Archives: Creating Readable Maps to Structure and Describe Document CollectionsAndreas Rauber, Dieter Merkl. 524-529
- Neuro-fuzzy Data Mining for Target Group Selection in Retail BankingJohannes Ruhland, Thomas Wittmann. 530-535
- Mining Possibilistic Set-Valued Rules by Generating Prime DisjunctionsAlexandr A. Savinov. 536-541
- Towards Discovery of Information GranulesAndrzej Skowron, Jaroslaw Stepaniuk. 542-547
- Classification Algorithms Based on Linear Combinations of FeaturesDominik Slezak, Jakub Wroblewski. 548-553
- Managing Interesting Rules in Sequence MiningMyra Spiliopoulou. 554-560
- Support Vector Machines for Knowledge DiscoveryShinsuke Sugaya, Einoshin Suzuki, Shusaku Tsumoto. 561-567
- Regression by Feature ProjectionsIlhan Uysal, H. Altay Güvenir. 568-573
- Generating Linguistic Fuzzy Rules for Pattern Classification with Genetic AlgorithmsN. Xiong, Lothar Litz. 574-579
- Data Mining for Robust Business Intelligence SolutionsJan Mrázek. 580-581
- Query Languages for Knowledge Discovery in DatabasesJean-François Boulicaut. 582-583
- The ESPRIT Project CreditMine and Its Relevance for the Internet MarketSusanne Köhler, Michael Krieger. 584-585
- Logics and Statistics for Association Rules and Beyond Abstract of TutorialPetr Hájek, Jan Rauch. 586-587
- Data Mining for the WebMyra Spiliopoulou. 588-589
- Relational Learning and Inductive Logic Programming Made Easy Abstract of TutorialLuc De Raedt, Hendrik Blockeel. 590