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ORCID3rd PKDD 1999: Prague, Czech Republic
- Jan M. Zytkow, Jan Rauch:
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
Time Series
- Eamonn J. Keogh, Michael J. Pazzani:
Scaling up Dynamic Time Warping to Massive Dataset. 1-11 - Zbigniew R. Struzik
, Arno Siebes:
The Haar Wavelet Transform in the Time Series Similarity Paradigm. 12-22 - Shusaku Tsumoto:
Rule Discovery in Large Time-Series Medical Databases. 23-31
Applications
- Hendrik Blockeel, Saso Dzeroski, Jasna Grbovic:
Simultaneous Prediction of Mulriple Chemical Parameters of River Water Quality with TILDE. 32-40 - Elisa Bertino, Barbara Catania, Eleonora Caglio:
Applying Data Mining Techniques to Wafer Manufacturing. 41-50 - Silvia Massa, Pier Paolo Puliafito:
An Application of Data Mining to the Problem of the University Students' Dropout Using Markov Chains. 51-60
Taxonomies and Partitions
- Gou Masuda, Rei Yano, Norihiro Sakamoto, Kazuo Ushijima:
Discovering and Visualizing Attribute Associations Using Bayesian Networks and Their Use in KDD. 61-70 - F. A. El-Mouadib, Jacek Koronacki, Jan M. Zytkow:
Taxonomy Formation by Approximate Equivalence Relations, Revisited. 71-79 - Arthur Flexer:
On the Use of Self-Organizing Maps for Clustering and Visualization. 80-88 - Tapio Elomaa, Juho Rousu:
Speeding Up the Search for Optimal Partitions. 89-97
Logic Methods
- Ljupco Todorovski, Saso Dzeroski:
Experiments in Meta-level Learning with ILP. 98-106 - Andrzej Skowron, Hung Son Nguyen:
Boolean Reasoning Scheme with Some Applications in Data Mining. 107-115 - Jirí Ivánek:
On the Correspondence between Classes of Implicational and Equivalence Quantifiers. 116-124 - Fosca Giannotti, Giuseppe Manco:
Querying Inductive Databases via Logic-Based User-Defined Aggregates. 125-135
Distributed and Multirelational Databases
- Ning Zhong, Yiyu Yao, Setsuo Ohsuga:
Peculiarity Oriented Multi-database Mining. 136-146 - Shusaku Tsumoto:
Knowledge Discovery in Medical Multi-databases: A Rough Set Approach. 147-155 - Rónán Páircéir, Sally I. McClean, Bryan W. Scotney:
Automated Discovery of Rules and Exeptions from Distributed Databases Using Aggregates. 156-164
Text Mining and Feature Selection
- Ronen Feldman, Yonatan Aumann, Moshe Fresko, Orly Liphstat, Binyamin Rosenfeld, Yonatan Schler:
Text Mining via Information Extraction. 165-173 - Chris Clifton, Robert Cooley:
TopCat: Data Mining for Topic Identification in a Text Corpus. 174-183 - Marc Sebban, Djamel A. Zighed, S. Di Palma:
Selection and Statistical Validation of Features and Prototypes. 184-192
Rules and Induction
- Thomas Ågotnes, Henryk Jan Komorowski, Terje Løken:
Taming Large Rule Models in Rough Set Approaches. 193-203 - Dmitry Zelenko:
Optimizing Disjunctive Association Rules. 204-213 - Marc Sebban, Richard Nock:
Contribution of Boosting in Wrapper Models. 214-222 - Richard Nock, Marc Sebban, Pascal Jappy:
Experiments on a Representation-Independent "Top-Down and Prune" Induction Scheme. 223-231
Interesting and Unusual
- Robert J. Hilderman, Howard J. Hamilton:
Heuristic Measures of Interestingness. 232-241 - Thomas Wittmann, Johannes Ruhland, Matthias Eichholz:
Enhancing Rule Interestingness for Neuro-fuzzy Systems. 242-250 - Uzi Murad, Gadi Pinkas:
Unsupervised Profiling for Identifying Superimposed Fraud. 251-261 - Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jörg Sander:
OPTICS-OF: Identifying Local Outliers. 262-270
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 María 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, Lúcia 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 Julia 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 Popelínský, 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 - Ning Xiong, Lothar Litz:
Generating Linguistic Fuzzy Rules for Pattern Classification with Genetic Algorithms. 574-579
Tutorials
- Jan Mrázek:
Data Mining for Robust Business Intelligence Solutions. 580-581 - Jean-François Boulicaut:
Query Languages for Knowledge Discovery in Databases. 582-583 - Susanne Köhler, Michael Krieger:
The ESPRIT Project CreditMine and Its Relevance for the Internet Market. 584-585 - Petr Hájek, Jan Rauch:
Logics and Statistics for Association Rules and Beyond Abstract of Tutorial. 586-587 - Myra Spiliopoulou:
Data Mining for the Web. 588-589 - Luc De Raedt, Hendrik Blockeel:
Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial. 590
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