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Knowledge Discovery in Databases: PKDD 2004

8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Jean-François Boulicaut

    1. INSA-Lyon, LIRIS CNRS UMR5205, Villeurbanne, France

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  2. Floriana Esposito

    1. Dipartimento di Informatica, Università degli Studi di Bari,  

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  3. Fosca Giannotti

    1. Pisa KDD Laboratory, ISTI - CNR, Area della Ricerca di Pisa, Pisa, Italy

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  4. Dino Pedreschi

    1. Dipartimento di Informatica, Pisa, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3202)

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

Included in the following conference series:

Conference proceedings info: PKDD 2004.

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Table of contents (64 papers)

  1. Front Matter

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  2. Invited Papers

    1. Random Matrices in Data Analysis

      • Dimitris Achlioptas
      Pages 1-7

    2. Data Privacy

      • Rakesh Agrawal
      Pages 8-8

    3. Breaking Through the Syntax Barrier: Searching with Entities and Relations

      • Soumen Chakrabarti
      Pages 9-16

    4. Real-World Learning with Markov Logic Networks

      • Pedro Domingos
      Pages 17-17

    5. Strength in Diversity: The Advance of Data Analysis

      • David J. Hand
      Pages 18-26

  3. Contributed Papers

    1. Mining Positive and Negative Association Rules: An Approach for Confined Rules

      • Maria-Luiza Antonie, Osmar R. Zaïane
      Pages 27-38

    2. An Experiment on Knowledge Discovery in Chemical Databases

      • Sandra Berasaluce, Claude Laurenço, Amedeo Napoli, Gilles Niel
      Pages 39-51

    3. Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering

      • Christian Borgelt, Rudolf Kruse
      Pages 52-62

    4. Combining Multiple Clustering Systems

      • Constantinos Boulis, Mari Ostendorf
      Pages 63-74

    5. Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms

      • Francesco Buccafurri, Gianluca Lax
      Pages 75-86

    6. A Framework for Data Mining Pattern Management

      • Barbara Catania, Anna Maddalena, Maurizio Mazza, Elisa Bertino, Stefano Rizzi
      Pages 87-98

    7. Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach

      • Michelangelo Ceci, Annalisa Appice, Donato Malerba
      Pages 99-111

    8. AutoPart: Parameter-Free Graph Partitioning and Outlier Detection

      • Deepayan Chakrabarti
      Pages 112-124

    9. Properties and Benefits of Calibrated Classifiers

      • Ira Cohen, Moises Goldszmidt
      Pages 125-136

    10. A Tree-Based Approach to Clustering XML Documents by Structure

      • Gianni Costa, Giuseppe Manco, Riccardo Ortale, Andrea Tagarelli
      Pages 137-148

    11. Discovery of Regulatory Connections in Microarray Data

      • Michael Egmont-Petersen, Wim de Jonge, Arno Siebes
      Pages 149-160

    12. Learning from Little: Comparison of Classifiers Given Little Training

      • George Forman, Ira Cohen
      Pages 161-172

    13. Geometric and Combinatorial Tiles in 0–1 Data

      • Aristides Gionis, Heikki Mannila, Jouni K. Seppänen
      Pages 173-184

    14. Document Classification Through Interactive Supervision of Document and Term Labels

      • Shantanu Godbole, Abhay Harpale, Sunita Sarawagi, Soumen Chakrabarti
      Pages 185-196
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Keywords

Editors and Affiliations

  • INSA-Lyon, LIRIS CNRS UMR5205, Villeurbanne, France

    Jean-François Boulicaut

  • Dipartimento di Informatica, Università degli Studi di Bari,  

    Floriana Esposito

  • Pisa KDD Laboratory, ISTI - CNR, Area della Ricerca di Pisa, Pisa, Italy

    Fosca Giannotti

  • Dipartimento di Informatica, Pisa, Italy

    Dino Pedreschi

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