1. PKDD 1997: Trondheim, Norway

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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