Discovering Users` Access Patterns for Web Usage Mining from Web Log Files

سال انتشار: 1392
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 605

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شناسه ملی سند علمی:

JR_JACR-4-3_002

تاریخ نمایه سازی: 16 شهریور 1395

چکیده مقاله:

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 a complete description of theproposed algorithm.

نویسندگان

Maryam Jafari

Department of Computer Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran

Shahram Jamali

Computer Engineering Department, University ofMohagheghArdabili, Ardabil, Iran

Farzad Soleymani Sabzchi

Department of Computer Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran