More than 1,900 Springer Protocols eBooks at just $9.99 each! Get yours today>>

Information Systems and Applications, incl. Internet/Web, and HCI

Knowledge Discovery in Inductive Databases

4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Papers

Editors: Bonchi, Francesco, Boulicaut, Jean-Francois (Eds.)

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-3-540-33293-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA
  • ISBN 978-3-540-33292-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The4thInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases (KDID 2005) was held in Porto, Portugal, on October 3, 2005 in conjunction with the 16th European Conference on Machine Learning and the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases. Ever since the start of the ?eld of data mining, it has been realized that the integration of the database technology into knowledge discovery processes was a crucial issue. This vision has been formalized into the inductive database perspective introduced by T. Imielinski and H. Mannila (CACM 1996, 39(11)). The main idea is to consider knowledge discovery as an extended querying p- cess for which relevant query languages are to be speci?ed. Therefore, inductive databases might contain not only the usual data but also inductive gener- izations (e. g. , patterns, models) holding within the data. Despite many recent developments, there is still a pressing need to understand the central issues in inductive databases. Constraint-based mining has been identi?ed as a core technology for inductive querying, and promising results have been obtained for rather simple types of patterns (e. g. , itemsets, sequential patterns). However, constraint-based mining of models remains a quite open issue. Also, coupling schemes between the available database technology and inductive querying p- posals are not yet well understood. Finally, the de?nition of a general purpose inductive query language is still an on-going quest.

Table of contents (14 chapters)

  • Data Mining in Inductive Databases

    Siebes, Arno

    Pages 1-23

  • Mining Databases and Data Streams with Query Languages and Rules

    Zaniolo, Carlo

    Pages 24-37

  • Memory-Aware Frequent k-Itemset Mining

    Atzori, Maurizio (et al.)

    Pages 38-54

  • Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data

    Besson, Jérémy (et al.)

    Pages 55-71

  • Experiment Databases: A Novel Methodology for Experimental Research

    Blockeel, Hendrik

    Pages 72-85

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-3-540-33293-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA
  • ISBN 978-3-540-33292-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Knowledge Discovery in Inductive Databases
Book Subtitle
4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Papers
Editors
  • Francesco Bonchi
  • Jean-Francois Boulicaut
Series Title
Information Systems and Applications, incl. Internet/Web, and HCI
Series Volume
3933
Copyright
2006
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-33293-0
DOI
10.1007/11733492
Softcover ISBN
978-3-540-33292-3
Edition Number
1
Number of Pages
VIII, 252
Topics