3. PKDD 1999:
Prague,
Czech Republic
Jan M. Zytkow, Jan Rauch (Eds.):
Principles of Data Mining and Knowledge Discovery, Third European Conference, PKDD '99, Prague, Czech Republic, September 15-18, 1999, Proceedings.
Lecture Notes in Computer Science 1704 Springer 1999, ISBN 3-540-66490-4 
@proceedings{DBLP:conf/pkdd/1999,
editor = {Jan M. Zytkow and
Jan Rauch},
title = {Principles of Data Mining and Knowledge Discovery, Third European
Conference, PKDD '99, Prague, Czech Republic, September 15-18,
1999, Proceedings},
booktitle = {PKDD},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {1704},
year = {1999},
isbn = {3-540-66490-4},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Time Series
Applications
Taxonomies and Partitions
Logic Methods
Distributed and Multirelational Databases
Text Mining and Feature Selection
Rules and Induction
Interesting and Unusual
Posters
- Érick Alphonse, Céline Rouveirol:
Selective Propositionalization for Relational Learning.
271-276
- Yonatan Aumann, Ronen Feldman, Yaron Ben-Yehuda, David Landau, Orly Liphstat, Yonatan Schler:
Circle Graphs: New Visualization Tools for Text-Mining.
277-282
- Henry Brighton, Chris Mellish:
On the Consistency of Information Filters for Lazy Learning Algorithms.
283-288
- Robert Cattral, Franz Oppacher, Dwight Deugo:
Using Genetic Algorithms to Evolve a Rule Hierarchy.
289-294
- Xiaodong Chen, Ilias Petrounias:
Mining Temporal Features in Association Rules.
295-300
- Filip Coenen, Gilbert Swinnen, Koen Vanhoof, Geert Wets:
The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning.
301-308
- Richard J. Cole II, Peter W. Eklund:
Analyzing an Email Collection Using Formal Concept Analysis.
309-315
- Piew Datta:
Bisiness Focused Evaluation Methods: A Case Study.
316-322
- Wolfgang Ertel, Manfred Schramm:
Combining Data and Knowledge by MaxEnt-Optimization of Probability Distributions.
323-328
- A. J. Feelders:
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation.
329-334
- María C. Fernández-Baizán, Ernestina Menasalvas Ruiz, José M. Peña Sánchez, Socorro Millán, Eloina Mesa:
Rough Dependencies as a Particular Case of Correlation: Application to the Calculation of Approximative Reducts.
335-340
- Christina S. Fertig, Alex Alves Freitas, Lucia V. R. Arruda, Celso A. A. Kaestner:
A Fuzzy Beam-Search Rule Induction Algorithm.
341-347
- Zhiwei Fu:
An Innovative GA-Based Decision Tree Classifier in Large Scale Data Mining.
348-353
- Javier Raymundo García-Serrano, José Francisco Martínez Trinidad:
Extension to C-means Algorithm for the Use of Similarity Functions.
354-359
- Claire J. Kennedy, Christophe G. Giraud-Carrier, Douglas W. Bristol:
Predicting Chemical Carcinogenesis Using Structural Information Only.
360-365
- Mikhail V. Kiselev, Sergei M. Ananyan, Sergei B. Arseniev:
LA - A Clustering Algorithm with an Automated Selection of Attributes, wich is Invariant to Functional Transformations of Coordinates.
366-371
- Mika Klemettinen, Heikki Mannila, A. Inkeri Verkamo:
Association Rule Selection in a Data Mining Environment.
372-377
- Arno J. Knobbe, Arno Siebes, Danïel van der Wallen:
Multi-relational Decision Tree Induction.
378-383
- Sergei O. Kuznetsov:
Learning of Simple Conceptual Graphs from Positive and Negative Examples.
384-391
- Wojciech Kwedlo, Marek Kretowski:
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction.
392-397
- Stéphane Lallich:
ZigZag, a New Clustering Algorithm to Analyze Categorical Variable Cross-Classification Tables.
398-405
- Jinyan Li, Xiuzhen Zhang, Guozhu Dong, Kotagiri Ramamohanarao, Qun Sun:
Efficient Mining of High Confidience Association Rules without Support Thresholds.
406-411
- Churn-Jung Liau, Duen-Ren Liu:
A Logical Approach to Fuzzy Data Analysis.
412-417
- Guido Lindner, Rudi Studer:
AST: Support for Algorithm Selection with a CBR Approach.
418-423
- Stefano Lodi, Luisella Reami, Claudio Sartori:
Efficient Shared Near Neighbours Clustering of Large Metric Data Sets.
424-429
- Stéphane Lopes, Jean-Marc Petit, Farouk Toumani:
Discovery of "Interesting" Data Dependencies from a Workload of SQL Statements.
430-435
- René MacKinney-Romero, Christophe G. Giraud-Carrier:
Learning from Highly Structured Data by Decomposition.
436-441
- Eddy Mayoraz, Miguel Moreira:
Combinatorial Approach for Data Binarization.
442-447
- Maybin K. Muyeba, John A. Keane:
Extending Attribute-Oriented Induction as a Key-Preserving Data Mining Method.
448-455
- Nikolay I. Nikolaev, Hitoshi Iba:
Automated Discovery of Polynomials by Inductive Genetic Programming.
456-461
- Aleksander Øhrn, Henryk Jan Komorowski:
Diagnosing Acute Appendicitis with Very Simple Classification Rules.
462-467
- Takashi Okada:
Rule Induction in Cascade Model Based on Sum of Squares Decomposition.
468-474
- Michal Pechoucek, Olga Stepánková, Petr Miksovský:
Maintenance of Discovered Knowledge.
476-483
- Clara Pizzuti, Domenico Talia, Giorgio Vonella:
A Divise Initialisation Method for Clustering Algorithms.
484-491
- Thorsten Poddig, Claus Huber:
A Comparison of Model Selection Procedures for Predicting Turning Points in Financial Time Series.
492-497
- Lubos Popelínsky, Tomás Pavelek:
Mining Lemma Disambiguation Rules from Czech Corpora.
498-503
- Chris P. Rainsford, John F. Roddick:
Adding Temporal Semantics to Association Rules.
504-509
- Ricco Rakotomalala, Stéphane Lallich, S. Di Palma:
Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N Concept.
510-517
- Zbigniew W. Ras:
Discovering Rules in Information Trees.
518-523
- Andreas Rauber, Dieter Merkl:
Mining Text Archives: Creating Readable Maps to Structure and Describe Document Collections.
524-529
- Johannes Ruhland, Thomas Wittmann:
Neuro-fuzzy Data Mining for Target Group Selection in Retail Banking.
530-535
- Alexandr A. Savinov:
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions.
536-541
- Andrzej Skowron, Jaroslaw Stepaniuk:
Towards Discovery of Information Granules.
542-547
- Dominik Slezak, Jakub Wroblewski:
Classification Algorithms Based on Linear Combinations of Features.
548-553
- Myra Spiliopoulou:
Managing Interesting Rules in Sequence Mining.
554-560
- Shinsuke Sugaya, Einoshin Suzuki, Shusaku Tsumoto:
Support Vector Machines for Knowledge Discovery.
561-567
- Ilhan Uysal, H. Altay Güvenir:
Regression by Feature Projections.
568-573
- N. Xiong, Lothar Litz:
Generating Linguistic Fuzzy Rules for Pattern Classification with Genetic Algorithms.
574-579
Tutorials
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