On mining association rules of real-valued items using fuzzy soft set

Rohidin, Dede and Samsudin, Noor A. and Herawan, Tutut (2017) On mining association rules of real-valued items using fuzzy soft set. In: Advances in Intelligent Systems and Computing. Recent Advances on Soft Computing and Data Mining, 549 . Springer International Publishing, pp. 517-528. ISBN 9783319512792

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Official URL: DOI:10.1007/978-3-319-51281-5_52

Abstract

Association rules is s one of data mining method that have been implemented in many discipline areas. This rule is able to find interesting relation between the data in a large data set. The traditional association rule has been employed to handle crisp set of items. However, for real-valued items, the traditional association rules fail to handle them. This paper introduces an alternative method for mining association rules for real-valued items. It is based on the concept of hybridization between fuzzy and soft sets. This combination is called fuzzy soft association rules. The results show that the introduced concept was able to mine an interesting association rules among the real number of items where they are represented in fuzzy soft set. Furthermore, it has the ability in dealing with uncertainty or vague data.

Item Type:Book Section
Uncontrolled Keywords:Data mining; association rules; soft set; fuzzy soft set
Subjects:Q Science > QA Mathematics > QA150 Algebra
Divisions:Faculty of Computer Science and Information Technology > Department of Software Engineering
ID Code:9599
Deposited By:Mr. Mohammad Shaifulrip Ithnin
Deposited On:13 Aug 2018 11:34
Last Modified:13 Aug 2018 11:34

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