Using Fuzzy Logic 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 publicationDATA MINING AND KNOWLEDGE DISCOVERY HANDBOOK, SECOND EDITION
PublisherSpringer, Boston, MA
Pages505-520
ISBN (Electronic)978-0-387-09823-4
ISBN (Print)978-0-387-09822-7
DOIs
StatePublished - 2010

Keywords

  • Data Mining
  • Membership Function
  • Fuzzy Logic
  • Association Rule
  • Fuzzy Rule

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