A novel associative classification model based on a fuzzy frequent pattern mining algorithm. Issue 4 (March 2015)

• Record Type: Journal Article
• Authors: Antonelli, Michela; Ducange, Pietro; Marcelloni, Francesco; Segatori, Armando
• Is Part Of: Expert systems with applications. Volume 42:Issue 4(2015)
• Page Start: 2086
• Page End: 2097
• Publication Date: 2015-03
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2014.09.021
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st065">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0400">We propose a novel efficient fuzzy associative classification approach.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0405">We exploit a fuzzy version of the FP-Growth algorithm.</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0410">We perform an experimental analysis on 17 classification datasets.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0415">We compare our approach with three well-known associative classifiers.</p> </list-item> </list> </p> </sec> </abstract>