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Communication Dans Un Congrès Année : 1998

Application of Fuzzy Rule Induction to Data Mining

Résumé

In this paper, a data mining process to induce a set of fuzzy rules from a database is presented. This process is based on the construction of fuzzy decision trees. We present a method to construct fuzzy decision trees and a method to use them to classify new examples. In presence of databases, prerequisites for training sets are introduced to generate a good subset of data that will enable us to construct a fuzzy decision tree. Moreover, we present different kinds of rules that can be induced by means of the construction of a decision tree, and we discuss some possible uses of such knowledge.

Dates et versions

hal-01622677 , version 1 (24-10-2017)

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Citer

Christophe Marsala. Application of Fuzzy Rule Induction to Data Mining. FQAS'98 - 3rd International Conference on Flexible Query Answering Systems, May 1998, Roskilde, Denmark. pp.260-271, ⟨10.1007/BFb0056007⟩. ⟨hal-01622677⟩
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