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Knowledge Discovery in Databases: PKDD 2003

7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Nada Lavrač

    1. University of Nova Gorica, Nova Gorica, Slovenia

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  2. Dragan Gamberger

    1. Rudjer Bošković Institute, Zagreb, Croatia

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  3. Ljupčo Todorovski

    1. Jozef Stefan Institute, Ljubljana, Slovenia

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  4. Hendrik Blockeel

    1. Leiden Institute of Advanced Computer Science, Leiden University,  

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2838)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PKDD 2003.

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Table of contents (44 papers)

  1. Front Matter

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  3. Contributed Papers

    1. Efficient Statistical Pruning of Association Rules

      • Alan Ableson, Janice Glasgow
      Pages 23-34

    2. Majority Classification by Means of Association Rules

      • Elena Baralis, Paolo Garza
      Pages 35-46

    3. Adaptive Constraint Pushing in Frequent Pattern Mining

      • Francesco Bonchi, Fosca Giannotti, Alessio Mazzanti, Dino Pedreschi
      Pages 47-58

    4. ExAnte: Anticipated Data Reduction in Constrained Pattern Mining

      • Francesco Bonchi, Fosca Giannotti, Alessio Mazzanti, Dino Pedreschi
      Pages 59-70

    5. Minimal k-Free Representations of Frequent Sets

      • Toon Calders, Bart Goethals
      Pages 71-82

    6. Discovering Unbounded Episodes in Sequential Data

      • Gemma Casas-Garriga
      Pages 83-94

    7. Mr-SBC: A Multi-relational Naïve Bayes Classifier

      • Michelangelo Ceci, Annalisa Appice, Donato Malerba
      Pages 95-106

    8. SMOTEBoost: Improving Prediction of the Minority Class in Boosting

      • Nitesh V. Chawla, Aleksandar Lazarevic, Lawrence O. Hall, Kevin W. Bowyer
      Pages 107-119

    9. Using Belief Networks and Fisher Kernels for Structured Document Classification

      • Ludovic Denoyer, Patrick Gallinari
      Pages 120-131

    10. A Skeleton-Based Approach to Learning Bayesian Networks from Data

      • Steven van Dijk, Linda C. van der Gaag, Dirk Thierens
      Pages 132-143

    11. On Decision Boundaries of Naïve Bayes in Continuous Domains

      • Tapio Elomaa, Juho Rousu
      Pages 144-155

    12. Application of Inductive Logic Programming to Structure-Based Drug Design

      • David P. Enot, Ross D. King
      Pages 156-167

    13. Visualizing Class Probability Estimators

      • Eibe Frank, Mark Hall
      Pages 168-179

    14. Automated Detection of Epidemics from the Usage Logs of a Physicians’ Reference Database

      • Jaana Heino, Hannu Toivonen
      Pages 180-191

    15. An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations

      • Shoji Hirano, Shusaku Tsumoto
      Pages 192-203
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Keywords

About this book

The proceedings of ECML/PKDD2003 are published in two volumes: the P- ceedings of the 14th European Conference on Machine Learning (LNAI 2837) and the Proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (LNAI 2838). The two conferences were held on September 22–26, 2003 in Cavtat, a small tourist town in the vicinity of Dubrovnik, Croatia. As machine learning and knowledge discovery are two highly related ?elds, theco-locationofbothconferencesisbene?cialforbothresearchcommunities.In Cavtat, ECML and PKDD were co-located for the third time in a row, following the successful co-location of the two European conferences in Freiburg (2001) and Helsinki (2002). The co-location of ECML2003 and PKDD2003 resulted in a joint program for the two conferences, including paper presentations, invited talks, tutorials, and workshops. Out of 332 submitted papers, 40 were accepted for publication in the ECML2003proceedings,and40wereacceptedforpublicationinthePKDD2003 proceedings. All the submitted papers were reviewed by three referees. In ad- tion to submitted papers, the conference program consisted of four invited talks, four tutorials, seven workshops, two tutorials combined with a workshop, and a discovery challenge.

Editors and Affiliations

  • University of Nova Gorica, Nova Gorica, Slovenia

    Nada Lavrač

  • Rudjer Bošković Institute, Zagreb, Croatia

    Dragan Gamberger

  • Jozef Stefan Institute, Ljubljana, Slovenia

    Ljupčo Todorovski

  • Leiden Institute of Advanced Computer Science, Leiden University,  

    Hendrik Blockeel

About the editors

 

This book constitutes the refereed proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with ECML 2003.

The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for ECML 2003, selected from a total of 332 submissions. The papers address all current issues in data mining and knowledge discovery in databases including data mining tools, association rule mining, classification, clustering, pattern mining, multi-relational classifiers, boosting, kernel methods, learning Bayesian networks, inductive logic programming, user preferences mining, time series analysis, multi-view learning, support vector machine, pattern mining, relational learning, categorization, information extraction, decision making, prediction, and decision trees.

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