5. PKDD 2001: Freiburg, Germany

Regular Papers

• Jafar Adibi, Wei-Min Shen:
  Self-Similar Layered Hidden Markov Models. 1-15
  
• Massih-Reza Amini, Patrick Gallinari:
  Automatic Text Summarization Using Unsupervised and Semi-supervised Learning. 16-28
  
• Hendrik Blockeel, Johannes Fürnkranz, Alexia Prskawetz, Francesco C. Billari:
  Detecting Temporal Change in Event Sequences: An Application to Demographic Data. 29-41
  
• Amanda Clare, Ross D. King:
  Knowledge Discovery in Multi-label Phenotype Data. 42-53
  
• Frans Coenen, Graham Goulbourne, Paul H. Leng:
  Computing Association Rules Using Partial Totals. 54-66
  
• Clare Bates Congdon:
  Gaphyl: A Genetic Algorithms Approach to Cladistics. 67-78
  
• Ömer Egecioglu:
  Parametric Approximation Algorithms for High-Dimensional Euclidean Similarity. 79-90
  
• Vladimir Estivill-Castro, Michael E. Houle:
  Data Structures for Minimization of Total Within-Group Distance for Spatio-temporal Clustering. 91-102
  
• Vladimir Estivill-Castro, Jianhua Yang:
  Non-crisp Clustering by Fast, Convergent, and Robust Algorithms. 103-114
  
• Pierre Geurts:
  Pattern Extraction for Time Series Classification. 115-127
  
• Fosca Giannotti, Giuseppe Manco, Franco Turini:
  Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study. 128-139
  
• Jeannette M. de Graaf, Walter A. Kosters, Jeroen J. W. Witteman:
  Interesting Fuzzy Association Rules in Quantitative Databases. 140-151
  
• Attila Gyenesei:
  Interestingness Measures for Fuzzy Association Rules. 152-164
  
• Maria Halkidi, Michalis Vazirgiannis:
  A Data Set Oriented Approach for Clustering Algorithm Selection. 165-179
  
• Melanie Hilario, Alexandros Kalousis:
  Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection. 180-191
  
• Frank Höppner:
  Discovery of Temporal Patterns. Learning Rules about the Qualitative Behaviour of Time Series. 192-203
  
• Rie Honda, Osamu Konishi:
  Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB. 204-215
  
• Theodore W. Hong, Keith L. Clark:
  Using Grammatical Inference to Automate Information Extraction from the Web. 216-227
  
• Yuh-Jyh Hu:
  Biological Sequence Data Mining. 228-240
  
• Eyke Hüllermeier:
  Implication-Based Fuzzy Association Rules. 241-252
  
• Szymon Jaroszewicz, Dan A. Simovici:
  A General Measure of Rule Interestingness. 253-265
  
• Jörg Kindermann, Gerhard Paass, Edda Leopold:
  Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization. 266-276
  
• Arno J. Knobbe, Marc de Haas, Arno Siebes:
  Propositionalisation and Aggregates. 277-288
  
• Sergei O. Kuznetsov, Sergei A. Obiedkov:
  Algorithms for the Construction of Concept Lattices and Their Diagram Graphs. 289-300
  
• Aleksandar Lazarevic, Zoran Obradovic:
  Data Reduction Using Multiple Models Integration. 301-313
  
• Roberto R. F. Mendes, Fabricio de B. Voznika, Alex Alves Freitas, Júlio C. Nievola:
  Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution. 314-325
  
• Claire Nedellec, Mohamed Ould Abdel Vetah, Philippe Bessières:
  Sentence Filtering for Information Extraction in Genomics, a Classification Problem. 326-337
  
• Jörg Ontrup, Helge Ritter:
  Text Categorization and Semantic Browsing with Self-Organizing Maps on Non-euclidean Spaces. 338-349
  
• Yen-Jen Oyang, Chien-Yu Chen, Tsui-Wei Yang:
  A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory. 350-361
  
• Laurence A. F. Park, Marimuthu Palaniswami, Kotagiri Ramamohanarao:
  Internet Document Filtering Using Fourier Domain Scoring. 362-373
  
• Francisco Pereira, Marcel Adam Just, Tom M. Mitchell:
  Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation. 374-385
  
• Nathalie Pernelle, Marie-Christine Rousset, Véronique Ventos:
  Automatic Construction and Refinement of a Class Hierarchy over Multi-valued Data. 386-398
  
• Céline Robardet, Fabien Feschet:
  Comparison of Three Objective Functions for Conceptual Clustering. 399-410
  
• Felice M. Roberts, Richard J. Povinelli, Kristina M. Ropella:
  Identification of ECG Arrhythmias Using Phase Space Reconstruction. 411-423
  
• Tobias Scheffer:
  Finding Association Rules That Trade Support Optimally against Confidence. 424-435
  
• Einoshin Suzuki, Masafumi Gotoh, Yuta Choki:
  Bloomy Decision Tree for Multi-objective Classification. 436-447
  
• Shusaku Tsumoto:
  Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction. 448-459
  
• Shusaku Tsumoto:
  Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model. 460-471
  
• Antony Unwin, Heike Hofmann, Klaus Bernt:
  The TwoKey Plot for Multiple Association Rules Control. 472-483
  
• Sholom M. Weiss, Nitin Indurkhya:
  Lightweight Collaborative Filtering Method for Binary-Encoded Data. 484-491
  

Invited Papers

• Thomas G. Dietterich, Xin Wang:
  Support Vectors for Reinforcement Learning. 492
  
• Heikki Mannila:
  Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining. 493
  
• Antony Unwin:
  Statistification or Mystification? The Need for Statistical Thought in Visual Data Mining. 494
  
• Gerhard Widmer:
  The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery. 495-506
  
• Stefan Wrobel:
  Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. 507
  

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