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Principles of Data Mining and Knowledge Discovery

Second European Symposium, PKDD'98, Nantes, France, September 23-26, 1998, Proceedings

  • Conference proceedings
  • © 1998

Overview

Editors:
  1. Jan M. Żytkow
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  2. Mohamed Quafafou
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1510)

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

Included in the following conference series:

Conference proceedings info: PKDD 1998.

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Table of contents (56 papers)

  1. The PSP approach for mining sequential patterns

    • F. Masseglia, F. Cathala, P. Poncelet
    Pages 176-184

  2. Knowledge discovery in spatial data by means of ILP

    • Luboš Popelínský
    Pages 185-193

  3. Querying inductive databases: A case study on the MINE RULE operator

    • Jean-François Boulicaut, Mika Klemettinen, Heikki Mannila
    Pages 194-202

  4. Classes of four-fold table quantifiers

    • Jan Rauch
    Pages 203-211

  5. Detection of interdependences in attribute selection

    • Javier Lorenzo, Mario Hernández, Juan Méndez
    Pages 212-220

  6. Postponing the evaluation of attributes with a high number of boundary points

    • Tapio Elomaa, Juho Rousu
    Pages 221-229

  7. A hybrid approach to feature selection

    • Moussa Boussouf
    Pages 230-238

  8. Discretization and grouping: Preprocessing steps for data mining

    • Petr Berka, Ivan Bruha
    Pages 239-245

  9. Fuzzy spatial OQL for fuzzy knowledge discovery in databases

    • Nara Martini Bigolin, Christophe Marsala
    Pages 246-254

  10. Extended functional dependencies as a basis for linguistic summaries

    • Patrick Bosc, Ludovic Liétard, Olivier Pivert
    Pages 255-263

  11. A comparison of batch and incremental supervised learning algorithms

    • Leonardo Carbonara, Alastair Borrowman
    Pages 264-272

  12. Knowledge Discovery with qualitative influences and synergies

    • Jesús Cerquides, Ramon López de Màntaras
    Pages 273-281

  13. Language support for temporal data mining

    • Xiaodong Chen, Ilias Petrounias
    Pages 282-290

  14. Resampling in an indefinite database to approximate functional dependencies

    • Ethan Collopy, Mark Levene
    Pages 291-299

  15. Knowledge discovery from client-server databases

    • Neil Dewhurst, Simon Lavington
    Pages 300-308

  16. Discovery of common subsequences in cognitive evoked potentials

    • Arthur Flexer, Herbert Bauer
    Pages 309-317

  17. Improving the discovery of association rules with intensity of implication

    • Sylvie Guillaume, Fabrice Guillet, Jacques Philippé
    Pages 318-327

  18. Generalization lattices

    • Howard J. Hamilton, Robert J. Hilderman, Liangchun Li, Dee Jay Randall
    Pages 328-336

  19. Overcoming fragmentation in decision trees through attribute value grouping

    • K. M. Ho, P. D. Scott
    Pages 337-344

  20. Data mining at a major bank: Lessons from a large marketing application

    • Petra Hunziker, Andreas Maier, Alex Nippe, Markus Tresch, Douglas Weers, Peter Zemp
    Pages 345-351
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Keywords

About this book

This book constitutes the refereed proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '98, held in Nantes, France, in September 1998.
The volume presents 26 revised papers corresponding to the oral presentations given at the conference; also included are refereed papers corresponding to the 30 poster presentations. These papers were selected from a total of 73 full draft submissions. The papers are organized in topical sections on rule evaluation, visualization, association rules and text mining, KDD process and software, tree construction, sequential and spatial data mining, and attribute selection.

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