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Hence, fuzzy association rules are developed as a sharp knife to solve the aforesaid problem by handling quantitative data using fuzzy set. In this paper, the authors present an updated survey of fuzzy association rule mining procedures along with a discussion and relevant pointers for further research.<\/p>","DOI":"10.4018\/jdwm.2013010101","type":"journal-article","created":{"date-parts":[[2013,3,14]],"date-time":"2013-03-14T14:35:39Z","timestamp":1363271739000},"page":"1-27","source":"Crossref","is-referenced-by-count":20,"title":["A Survey on Fuzzy Association Rule Mining"],"prefix":"10.4018","volume":"9","author":[{"given":"Harihar","family":"Kalia","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Seemanta Engineering College, Jharpokharia, Mayurbhanj, Odisha, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Satchidananda","family":"Dehuri","sequence":"additional","affiliation":[{"name":"Department of Systems Engineering, Ajou University, Suwon, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashish","family":"Ghosh","sequence":"additional","affiliation":[{"name":"Center for Soft Computing Research, Indian Statistical Institute, Kolkata, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jdwm.2013010101-0","doi-asserted-by":"crossref","unstructured":"Agarwal, C. 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