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

last updated on Fri May 24 05:22:05 2013 by the dblp team
data released under the ODC-BY 1.0 license
see also our legal information page