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Knowledge Discovery in Databases: PKDD 2005

9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Alípio Mário Jorge

    1. LIACC/FEP, Universidade do Porto, Portugal

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  2. Luís Torgo

    1. LIAAD-INESC Porto LA / FEP, University of Porto, Porto, Portugal

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  3. Pavel Brazdil

    1. LIAAD-INESC Porto L.A./Faculty of Economics, University of Porto, Porto, Portugal

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  4. Rui Camacho

    1. Faculdade de Engenharia & LIAAD, Universidade do Porto, Portugal

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  5. João Gama

    1. Faculty of Economics of the University of Porto, Portugal

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3721)

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

Included in the following conference series:

Conference proceedings info: PKDD 2005.

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Table of contents (76 papers)

  1. Front Matter

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  3. Long Papers

    1. k-Anonymous Patterns

      • Maurizio Atzori, Francesco Bonchi, Fosca Giannotti, Dino Pedreschi
      Pages 10-21

    2. Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining

      • Stefano Bistarelli, Francesco Bonchi
      Pages 22-33

    3. Generating Dynamic Higher-Order Markov Models in Web Usage Mining

      • José Borges, Mark Levene
      Pages 34-45

    4. Tree 2 – Decision Trees for Tree Structured Data

      • Björn Bringmann, Albrecht Zimmermann
      Pages 46-58

    5. Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results

      • Ian Davidson, S. S. Ravi
      Pages 59-70

    6. Cluster Aggregate Inequality and Multi-level Hierarchical Clustering

      • Chris Ding, Xiaofeng He
      Pages 71-83

    7. Ensembles of Balanced Nested Dichotomies for Multi-class Problems

      • Lin Dong, Eibe Frank, Stefan Kramer
      Pages 84-95

    8. Protein Sequence Pattern Mining with Constraints

      • Pedro Gabriel Ferreira, Paulo J. Azevedo
      Pages 96-107

    9. An Adaptive Nearest Neighbor Classification Algorithm for Data Streams

      • Yan-Nei Law, Carlo Zaniolo
      Pages 108-120

    10. Support Vector Random Fields for Spatial Classification

      • Chi-Hoon Lee, Russell Greiner, Mark Schmidt
      Pages 121-132

    11. Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication

      • Jurij Leskovec, Deepayan Chakrabarti, Jon Kleinberg, Christos Faloutsos
      Pages 133-145

    12. A Correspondence Between Maximal Complete Bipartite Subgraphs and Closed Patterns

      • Jinyan Li, Haiquan Li, Donny Soh, Limsoon Wong
      Pages 146-156

    13. Improving Generalization by Data Categorization

      • Ling Li, Amrit Pratap, Hsuan-Tien Lin, Yaser S. Abu-Mostafa
      Pages 157-168
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Keywords

About this book

The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were jointly organized this year for the ?fth time in a row, after some years of mutual independence before. After Freiburg (2001), Helsinki (2002), Cavtat (2003) and Pisa (2004), Porto received the 16th edition of ECML and the 9th PKDD in October 3–7. Having the two conferences together seems to be working well: 585 di?erent paper submissions were received for both events, which maintains the high s- mission standard of last year. Of these, 335 were submitted to ECML only, 220 to PKDD only and 30 to both. Such a high volume of scienti?c work required a tremendous e?ort from Area Chairs, Program Committee members and some additional reviewers. On average, PC members had 10 papers to evaluate, and Area Chairs had 25 papers to decide upon. We managed to have 3 highly qua- ?edindependentreviewsperpaper(withveryfewexceptions)andoneadditional overall input from one of the Area Chairs. After the authors’ responses and the online discussions for many of the papers, we arrived at the ?nal selection of 40 regular papers for ECML and 35 for PKDD. Besides these, 32 others were accepted as short papers for ECML and 35 for PKDD. This represents a joint acceptance rate of around 13% for regular papers and 25% overall. We thank all involved for all the e?ort with reviewing and selection of papers. Besidesthecoretechnicalprogram,ECMLandPKDDhad6invitedspeakers, 10 workshops, 8 tutorials and a Knowledge Discovery Challenge.

Editors and Affiliations

  • LIACC/FEP, Universidade do Porto, Portugal

    Alípio Mário Jorge

  • LIAAD-INESC Porto LA / FEP, University of Porto, Porto, Portugal

    Luís Torgo

  • LIAAD-INESC Porto L.A./Faculty of Economics, University of Porto, Porto, Portugal

    Pavel Brazdil

  • Faculdade de Engenharia & LIAAD, Universidade do Porto, Portugal

    Rui Camacho

  • Faculty of Economics of the University of Porto, Portugal

    João Gama

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