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Lecture Notes in Artificial Intelligence

Constraint-Based Mining and Inductive Databases

European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers

Editors: Boulicaut, Jean-Francois, De Raedt, Luc, Mannila, Heikki (Eds.)

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Table of contents (18 chapters)

  • The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery

    Bayardo, Roberto J.

    Pages 1-13

    Preview Buy Chapter 30,19 €
  • A Relational Query Primitive for Constraint-Based Pattern Mining

    Bonchi, Francesco (et al.)

    Pages 14-37

    Preview Buy Chapter 30,19 €
  • To See the Wood for the Trees: Mining Frequent Tree Patterns

    Bringmann, Björn

    Pages 38-63

    Preview Buy Chapter 30,19 €
  • A Survey on Condensed Representations for Frequent Sets

    Calders, Toon (et al.)

    Pages 64-80

    Preview Buy Chapter 30,19 €
  • Adaptive Strategies for Mining the Positive Border of Interesting Patterns: Application to Inclusion Dependencies in Databases

    Marchi, Fabien (et al.)

    Pages 81-101

    Preview Buy Chapter 30,19 €

Buy this book

eBook 71,39 €
price for Spain (gross)
  • ISBN 978-3-540-31351-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 90,47 €
price for Spain (gross)
  • ISBN 978-3-540-31331-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Constraint-Based Mining and Inductive Databases
Book Subtitle
European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers
Editors
  • Jean-Francois Boulicaut
  • Luc De Raedt
  • Heikki Mannila
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
3848
Copyright
2006
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
The Editor(s) (if applicable) and The Author(s) 2018
eBook ISBN
978-3-540-31351-9
DOI
10.1007/11615576
Softcover ISBN
978-3-540-31331-1
Edition Number
1
Number of Pages
X, 404
Topics