出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Web usage mining is the method of extracting interesting patterns from Web usage log file. Webusage mining is subfield of data mining uses various data mining techniques to produceassociation rules. Data mining techniques are used to generate association rules fromtransaction data. Most of the time transactions are boolean transactions, whereas Web usagedata consists of quantitative values. To handle these real world quantitative data we used fuzzydata mining algorithm for extraction of association rules from quantitative Web log file. Togenerate fuzzy association rules first we designed membership function. This membershipfunction is used to transform quantitative values into fuzzy terms. Experiments are carried outon different support and confidence. Experimental results show the performance of thealgorithm with varied supports and confidence.
关键词：Web Usage mining; Data mining; Fuzzy association rules; Web log file; Fuzzy term.
