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

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.

Keywords:

Web usage mining , Pattern discovery , Navigational pattern , Fuzzy FP-Growth algorithm