discovering users` access patterns for web usage mining from web log files
نویسندگان
چکیده
web usage mining (wum) is the automatic discovering of hidden informationof user access pattern from the web log data. frequent pattern discovery is one ofthe main techniques in wum that can be used to implement recommender systems,forecast user`s navigational behaviour, and personalize web sites. many algorithmshave been suggested on obtaining frequent user navigation patterns. this paperpresents pd-farm (pattern discovery based on fuzzy association rule mining)algorithm to extract the web usage patterns, based on fuzzy association rulemining (farm). fuzzy frequent pattern-growth (ffp-growth) algorithm is usedto farm. finally, an illustrated example is given for complete description of theproposed algorithm.
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عنوان ژورنال:
journal of advances in computer researchناشر: sari branch, islamic azad university
ISSN 2345-606X
دوره 4
شماره 3 2013
میزبانی شده توسط پلتفرم ابری doprax.com
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