Advertisement

Importance of Multi-database Mining

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

Abstract

This book focuses on developing new techniques for multi-database mining. In Chapter 1, we outline the importance, and existing limitations, of multi-database mining, and explain why there is an urgent need for efficient analysis of data in such databases. We point out, too, that there are essential differences between mono- and multi-database mining. An existing process of multi-database mining is included in this chapter, and some practical issues involving mining multi-databases, including application-independent database classification, local pattern analysis, and local pattern synthesis, are briefly discussed.

Keywords

Association Rule Local Pattern Mining Technique Multiple Database Head Office 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

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

Personalised recommendations