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Database Clustering

  • Shichao Zhang
  • Chengqi Zhang
  • Xindong Wu
Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Abstract

In the past, identifying relevant databases has been typically applicationdependent The process had to be carried out multiple times to identify relevant databases for two or more real-world applications. This chapter advocates an efficient and effective application-independent database classification for mining multi-databases.

Keywords

Association Rule Knowledge Discovery Good Classification Frequent Itemsets Classification Class 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Shichao Zhang
    • 1
  • Chengqi Zhang
    • 1
  • Xindong Wu
    • 2
  1. 1.FIT, Universityof Technology SydneyAustralia
  2. 2.Department of Computer ScienceUniversity of VermontUSA

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