Abstract

Nowadays there is a huge amount of data stored in real-world databases, and this amount continues to grow fast. As pointed out by [Piatetsky-Shapiro 1991], this creates both an opportunity and a need for (semi-)automatic methods that discover the knowledge “hidden” in such databases. If such knowledge discovery activity is successful, discovered knowledge can be used to improve the decision-making process of an organization.

Keywords

Entropy Income Expense Stein Dition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Alex A. Freitas
    • 1
  1. 1.Computing LaboratoryUniversity of KentCanterburyUK

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