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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)

Table of contents (18 chapters)
  • The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery

    Pages 1-13

    Bayardo, Roberto J.

  • A Relational Query Primitive for Constraint-Based Pattern Mining

    Pages 14-37

    Bonchi, Francesco (et al.)

  • To See the Wood for the Trees: Mining Frequent Tree Patterns

    Pages 38-63

    Bringmann, Björn

  • A Survey on Condensed Representations for Frequent Sets

    Pages 64-80

    Calders, Toon (et al.)

  • Adaptive Strategies for Mining the Positive Border of Interesting Patterns: Application to Inclusion Dependencies in Databases

    Pages 81-101

    Marchi, Fabien (et al.)

Buy this book

eBook $89.00
price for USA in USD
  • 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 $119.00
price for USA in USD
  • ISBN 978-3-540-31331-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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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
Springer-Verlag Berlin Heidelberg
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