The Research of Distributed Data Mining Knowledge Discovery Based on Extension Sets

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Distributed Data Mining (DDM) has evolved into an important and active area of research because of theoretical challenges and practical applications associated with the problem of extracting, interesting and previously unknown knowledge from very large real-world databases. Extension Set Theory is a mathematical formalism for representing uncertainty that can be considered an extension of the classical set theory. In this paper, introduced the matter-element and extension set that is the base of the extenics, researched the way to find out and generate the new knowledge that help by the divergence, change and transformation based on the extension The main aim is to show how Extension sets can be effectively used to extract knowledge from large databases.

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