Z. Anari
Department of Computer Engineering and Information Technology, Payame Noor University (PNU), P. OBox,19395-4697 Tehran, Iran
[ 1 ] - Optimizing Membership Functions using Learning Automata for Fuzzy Association Rule Mining
The Transactions in web data often consist of quantitative data, suggesting that fuzzy set theory can be used to represent such data. The time spent by users on each web page is one type of web data, was regarded as a trapezoidal membership function (TMF) and can be used to evaluate user browsing behavior. The quality of mining fuzzy association rules depends on membership functions and since t...
نویسندگان همکار