The role of fuzzy sets in data mining

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this chapter we discuss how fuzzy logic extends the envelop of the main data mining tasks: clustering, classification, regression and association rules. We begin by presenting a formulation of the data mining using fuzzy logic attributes. Then, for each task, we provide a survey of the main algorithms and a detailed description (i.e. pseudo-code) of the most popular algorithms. However this chapter will not profoundly discuss neuro-fuzzy techniques, assuming that there will be a dedicated chapter for this issue.

Original languageEnglish
Title of host publicationSoft Computing for Knowledge Discovery and Data Mining
PublisherSpringer US
Pages187-203
Number of pages17
ISBN (Print)9780387699349
DOIs
StatePublished - 1 Dec 2008

ASJC Scopus subject areas

  • Computer Science (all)

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