Abstract is missing.
- On Objective Measures of Rule SurprisingnessAlex Alves Freitas. 1-9
- Discovery of Surprising Exception Rules Based on Intensity of ImplicationEinoshin Suzuki, Yves Kodratoff. 10-18
- A Metric for Selection of the Most Promising RulesPedro Gago, Carlos Bento. 19-27
- For Visualization-Based Analysis Tools in Knowledge Discovery Process: A Multilayer Perceptron versus Principal Components Analysis: A Comparative StudyXavier Polanco, Claire François, Mohamed Aly Ould Louly. 28-37
- Trend Graphs: Visualizing the Evolution of Concept Relationships in Large Document CollectionsRonen Feldman, Yonatan Aumann, Amir Zilberstein, Yaron Ben-Yehuda. 38-46
- Ranked Rules and Data VisualizationLeon Bobrowski, Tomasz Sowinski. 47-55
- TextVis: An Integrated Visual Environment for Text MiningDavid Landau, Ronen Feldman, Yonatan Aumann, Moshe Fresko, Yehuda Lindell, Orly Liphstat, Oren Zamir. 56-64
- Text Mining at the Term LevelRonen Feldman, Moshe Fresko, Yakkov Kinar, Yehuda Lindell, Orly Liphstat, Martin Rajman, Yonatan Schler, Oren Zamir. 65-73
- A New Algorithm for Faster Mining of Generalized Association RulesJochen Hipp, Andreas Myka, Rüdiger Wirth, Ulrich Güntzer. 74-82
- Knowledge Discovery with Clustering Based on Rules. Interpreting ResultsKarina Gibert, Tomàs Aluja-Banet, Ulises Cortés. 83-92
- Efficient Construction of Comprehensible Hierarchical ClusteringsLuis Talavera, Javier Béjar. 93-101
- Cost Sensitive Discretization of Numeric AttributesTom Brijs, Koen Vanhoof. 102-110
- Handling KDD Process Changes by Incremental ReplanningNing Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Setsuo Ohsuga. 111-120
- Object Mining: A Practical Application of Data Mining for the Construction and Maintenance of Software ComponentsAnders Torvill Bjorvand. 121-129
- A Relational Data Mining Tool Based On Genetic ProgrammingLionel Martin, Frédéric Moal, Christel Vrain. 130-138
- Inducing Cost-Sensitive Trees via Instance WeightingKai Ming Ting. 139-147
- Model Switching for Bayesian Classification Trees with Soft SplitsJörg Kindermann, Gerhard Paass. 148-157
- Interactive Visualization for Predictive Modelling with Decision Tree InductionTu Bao Ho, Trong Dung Nguyen. 158-166
- Discovery of Diagnostic Patterns from Protein Sequence DatabasesBjörn Olsson, Kim Laurio. 167-175
- The PSP Approach for Mining Sequential PatternsFlorent Masseglia, Fabienne Cathala, Pascal Poncelet. 176-184
- Knowledge Discovery in Spatial Data by Means of ILPLubos Popelínsky. 185-193
- Querying Inductive Databases: A Case Study on the MINE RULE OperatorJean-François Boulicaut, Mika Klemettinen, Heikki Mannila. 194-202
- Classes of Four-Fold Table QuantifiersJan Rauch. 203-211
- Detection of Interdependences in Attribute SelectionJavier Lorenzo, Mario Hernández, Juan Méndez. 212-220
- Postponing the Evaluation of Attributes with a High Number of Boundary PointsTapio Elomaa, Juho Rousu. 221-229
- A Hybrid Approach to Feature SelectionMoussa Boussouf. 230-238
- Discretization and Grouping: Preprocessing Steps for Data MiningPetr Berka, Ivan Bruha. 239-245
- Fuzzy Spatial OQL for Fuzzy Knowledge Discovery in DatabasesNara Martini Bigolin, Christophe Marsala. 246-254
- Extended Functional Dependencies as a Basis for Linguistic SummariesPatrick Bosc, Ludovic Lietard, Olivier Pivert. 255-263
- A Comparison of Batch and Incremental Supervised Learning AlgorithmsLeonardo Carbonara, Alastair Borrowman. 264-272
- Knowledge Discovery with Qualitative Influences and SynergiesJesús Cerquides, Ramon López de Mántaras. 273-281
- Language Support for Temporal Data MiningXiaodong Chen, Ilias Petrounias. 282-290
- Resampling in an Indefinite Database to Approximate Functional DependenciesEthan Collopy, Mark Levene. 291-299
- Knowledge Discovery from Client-Server DatabasesNeil Dewhurst, Simon H. Lavington. 300-308
- Discovery of Common Subsequences in Cognitive Evoked PotentialsArthur Flexer, Herbert Bauer. 309-317
- Improving the Discovery of Association Rules with Intensity of ImplicationSylvie Guillaume, Fabrice Guillet, Jacques Philippe. 318-327
- Generalization LatticesHoward J. Hamilton, Robert J. Hilderman, Liangchun Li, Dee Jay Randall. 328-336
- Overcoming Fragmentation in Decision Trees Through Attribute Value GroupingK. M. Ho, Paul D. Scott. 337-344
- Data Mining at a Major Bank: Lessons from a Large Marketing ApplicationPetra Hunziker, Andreas Maier, Alex Nippe, Markus Tresch, Douglas Weers, Peter Zemp. 345-351
- PolyAnalyst Data Analysis Technique and Its Specialization for Processing Data Organized as a Set of Attribute ValuesMikhail V. Kiselev, Sergei M. Ananyan, Sergei B. Arseniev. 352-360
- Representative Association Rules and Minimum Condition Maximum Consequence Association RulesMarzena Kryszkiewicz. 361-369
- Discovery of Decision Rules from Databases: An Evolutionary ApproachWojciech Kwedlo, Marek Kretowski. 370-378
- Using Loglinear Clustering for Subcategorization IdentificationNuno Miguel Marques, José Gabriel Pereira Lopes, Carlos Agra Coelho. 379-387
- Exploratory Attributes Search for Time-Series Data: An Experimental System for Agricultural ApplicationKazunori Matsumoto. 388-395
- A Procedure to Compute Prototypes for Data Mining in Non-structured DomainsJuan Méndez, Mario Hernández, Javier Lorenzo. 396-404
- From the Data Mine to the Knowledge Mill: Applying the Principles of Lexical Analysis to the Data Mining and Knowledge Discovery ProcessJean Moscarola, Richard Bolden. 405-413
- Preprocessing of Missing Values Using Robust Association RulesArnaud Ragel. 414-422
- Similarity-Driven Sampling for Data MiningThomas P. Reinartz. 423-431
- Modeling the Business Process by Mining Multiple DatabasesArun P. Sanjeev, Jan M. Zytkow. 432-440
- Data Transformation and Rough SetsJaroslaw Stepaniuk, Marcin Maj. 441-449
- Conceptual Knowledge Discovery in Databases Using Formal Concept Analysis MethodsGerd Stumme, Rudolf Wille, Uta Wille. 450-458
- CLASITEX: A Tool for Knowledge Discovery from TextsJosé Francisco Martínez Trinidad, Beatriz Beltrán Martínez, Adolfo Guzmán-Arenas, José Ruiz-Shulcloper. 459-467
- Discovery of Approximate Medical Knowledge Based on Rough Set ModelShusaku Tsumoto. 468-476
- Scalable, High-Performance Data Mining with Parallel ProcessingAlex Alves Freitas. 477
- Practical Text MiningRonen Feldman. 478
- Industrial Applications of Data MiningGholamreza Nakhaeizadeh. 479-480