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A Framework for Developing Effective Multi-database Mining Applications

  • Animesh AdhikariEmail author
  • Pralhad Ramachandrarao
  • Witold Pedrycz
Chapter
Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Abstract

Multi-database mining has been already recognized as an important and strategically essential area of research in data mining. In this chapter, we discuss how one can systematically prepare data warehouses located at different branches for ensuring data mining activities. An appropriate multi-database mining technique is essential to develop efficient applications. Also, the efficiency of a multi-database mining application could be improved by processing more patterns in the individual application. A faster algorithm could also contribute to the enhanced quality of the data mining framework. The efficiency of a multi-database mining application can be enhanced by choosing an appropriate multi-database mining model, a suitable pattern synthesizing technique, a better pattern representation technique, and an efficient algorithm for solving the problem.

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Copyright information

© Springer-Verlag London 2010

Authors and Affiliations

  • Animesh Adhikari
    • 1
    Email author
  • Pralhad Ramachandrarao
    • 2
  • Witold Pedrycz
    • 3
  1. 1.Department of Computer ScienceSmt. Parvatibal Chowgule CollegeMargoaIndia
  2. 2.Department of Computer Science & TechnologyGoa UniversityGoaIndia
  3. 3.Department of Electrical & Computer EngineeringUniversity of AlbertaEdmontonCanada

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