1. PKDD 1997: Trondheim, Norway

Henryk Jan Komorowski, Jan M. Zytkow (Eds.): 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

@proceedings{DBLP:conf/pkdd/1997,
  editor    = {Henryk Jan Komorowski and
               Jan M. Zytkow},
  title     = {Principles of Data Mining and Knowledge Discovery, First European
               Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997, Proceedings},
  booktitle = {PKDD},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1263},
  year      = {1997},
  isbn      = {3-540-63223-9},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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 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