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ORCID1st PKDD 1997: Trondheim, Norway
- Henryk Jan Komorowski, Jan M. Zytkow:
Principles of Data Mining and Knowledge Discovery, First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997, Proceedings. Lecture Notes in Computer Science 1263, Springer 1997, ISBN 3-540-63223-9
Invited Talk
- Bjarne A. Foss:
Knowledge Discovery - A Control Theory Perspective. 1-3
Plenary Session 1
- Wojciech Kowalczyk, Frank Slisser:
Modelling Customer Retention with Rough Data Models. 4-13 - Colin L. Carter, Howard J. Hamilton, Nick Cercone:
Share Based Measures for Itemsets. 14-24 - Robert J. Hilderman, Howard J. Hamilton, Robert J. Kowalchuk, Nick Cercone:
Parallel Knowledge Discovery Using Domain Generalization Graphs. 25-35 - Jerzy Stefanowski
, Krzysztof Slowinski:
Rough Set Theory and Rule Induction Techniques for Discovery of Attribute Dependencies in Medical Information Systems. 36-46 - Jan Rauch:
Logical Calculi for Knowledge Discovery in Databases. 47-57
Parallel Session 2a
- Shusaku Tsumoto:
Extraction of Experts' Decision Process from Clinical Databases Using Rough Set Model. 58-67 - Mathias Bull, Günther Kundt, Lothar Gierl:
Discovery of Health Risks and Case-Based Forecasting of Epidemics in a Health Surveillance System. 68-77 - Stefan Wrobel:
An Algorithm for Multi-relational Discovery of Subgroups. 78-87
Parallel Session 2b
- Gautam Das, Dimitrios Gunopulos, Heikki Mannila:
Finding Similar Time Series. 88-100 - Dieter Merkl:
Exploration of Document Collections with Self-Organizing Maps: A Novel Approach to Similarity Representation. 101-111 - Ronen Feldman, Willi Klösgen, Yaniv Ben-Yehuda, Gil Kedar, Vladimir Reznikov:
Pattern Based Browsing in Document Collections. 112-122
Parallel Session 3a
- Dan Rasmussen, Ronald R. Yager:
Induction of Fuzzy Characteristic Rules. 123-133 - Mikhail V. Kiselev, Sergei M. Ananyan, Sergei B. Arseniev:
Regression-Based Classification Methods and Their Comparisons with Desision Tree Algorithms. 134-144 - Jaroslaw Stepaniuk:
Attribute Discovery and Rough Sets. 145-155 - Marzena Kryszkiewicz:
Generation of Rules from Incomplete Information Systems. 156-166
Parallel Session 3b
- Günther Ruhe:
Knowledge Discovery from Software Engineering Data: Rough Set Analysis and Its Interaction with Goal-Oriented Measurement. 167-177 - Tapio Elomaa, Juho Rousu:
Efficient Multisplitting on Numerical Data. 178-188 - Paul D. Scott, A. P. M. Coxon, M. H. Hobbs, R. J. Williams:
SNOUT: An Intelligent Assistant for Exploratory Data Anaylsis. 189-199
Plenary Session 4
- Rimvydas Simutis:
Exploratory Analysis of Biochemical Processes Using Hybrid Modeling Methods. 200-210 - Henrik André-Jönsson, Dushan Z. Badal:
Using Signature Files for Querying Time-Series Data. 211-220 - Amihood Amir, Ronen Feldman, Reuven Kashi:
A New and Versatile Method for Association Generation. 221-231 - Jan C. Bioch, Onno van der Meer, Rob Potharst:
Bivariate Decision Trees. 232-242 - Rüdiger Wirth, Colin Shearer, Udo Grimmer, Thomas P. Reinartz, Jörg Schlösser, Christoph Breitner, Robert Engels, Guido Lindner:
Towards Process-Oriented Tool Support for Knowledge Discovery in Databases. 243-253
Plenary Session 5
- Kristina Schädler, Fritz Wysotzki:
A Connectionist Approach to Structural Simiarity Determination as a Basis of Clustering, Classification and Feature Detection. 254-264 - Sinh Hoa Nguyen, Andrzej Skowron:
Searching for Relational Patterns in Data. 265-276 - Friedrich Gebhardt:
Finding Spatial Clusters. 277-287 - Eric Boudaillier, Georges Hébrail:
Interactive Interpretation of Hierarchical Clustering. 288-298
Poster Session 6
- Alex Alves Freitas:
The Pronciple of Transformation between Efficiency and Effectiveness: Towards a Fair Evaluation of the Cost-Effectiveness of KDD Techniques. 299-306 - Petr Berka:
Recognizing Reliability of Discovered Knowledge. 307-314 - Anna M. Manning, Andy Brass, Carole A. Goble, John A. Keane:
Clustering Techniques in Biological Sequence Analysis. 315-322 - Robert J. Watts, Alan L. Porter, Scott W. Cunningham, Donghua Zhu:
TOAS Intelligence Mining; Analysis of Natural Language Processing and Computational Linguistics. 323-334 - Mikhail Moshkov:
Algorithms for Constructing of Decision Trees. 335-342 - Helena Ahonen, Oskari Heinonen, Mika Klemettinen, A. Inkeri Verkamo:
Mining in the Phrasal Frontier. 343-350 - Anders Torvill Bjorvand:
Mining Time Series Using Rough Sets - A Case Study. 351-358 - Hung Son Nguyen, Marcin S. Szczuka, Dominik Slezak:
Neural Networks Design: Rough Set Approach to Continuous Data. 359-366 - Ning Zhong, Setsuo Ohsuga, Chunnian Liu, Yoshitsugu Kakemoto, Xiaosong Zhang:
On Meta Levels of an Organized Society of KDD Agents. 367-375 - Yuanhui Zhou, Yuchang Lu, Chunyi Shi:
Using Neural Network to Extract Knowledge from Database. 376-383 - Mohamed Quafafou, Moussa Boussouf:
Induction of Strong Feature Subsets. 384-392
Tutorials
- Henryk Jan Komorowski, Lech Polkowski, Andrzej Skowron:
Rough Sets for Data Mining and Knowledge Discovery (Abstract). 393 - Willi Klösgen, Jan M. Zytkow:
techniques and Applications of KDD (Abstract). 394 - Robert L. Grossman:
A Tutorial Introduction to High Performance Data Mining (Abstract). 395 - Leo Carbonara, Huw Roberts, Blaise Egan:
Data Mining in the Telecommunications Industry (Abstract). 396
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