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Distributed Data-Mining by Probability-Based Patterns

Authors: M. Kargar, F. Gharbalchi


In this paper a new method is suggested for distributed data-mining by the probability patterns. These patterns use decision trees and decision graphs. The patterns are cared to be valid, novel, useful, and understandable. Considering a set of functions, the system reaches to a good pattern or better objectives. By using the suggested method we will be able to extract the useful information from massive and multi-relational data bases.

Keywords: Relationship, Pattern, Decision Tree, data-mining, Decision graph

Digital Object Identifier (DOI):

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