Discovering Users` Access Patterns for Web Usage Mining from Web Log Files
Publish place: Journal of Advances in Computer Research، Vol: 4، Issue: 3
Publish Year: 1392
Type: Journal paper
Language: English
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Document National Code:
JR_JACR-4-3_002
Index date: 6 September 2016
Discovering Users` Access Patterns for Web Usage Mining from Web Log Files abstract
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.
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Discovering Users` Access Patterns for Web Usage Mining from Web Log Files authors
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