Discovery of Frequent Patterns from Web Log Data by using FP-Growth algorithm for Web Usage Mining

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Web usage mining refers to the automatic discovery and analysis of patterns in click stream and associated data collected or generated as a result of user interactions with web resources on one or more web sites. It consists of three phases which are data Preprocessing, pattern discovery and pattern analysis. In the pattern discovery phase, frequent pattern discovery algorithms applied on raw data. In the pattern analysis phase interesting knowledge is extracted from frequent patterns and these results are used for website modification. In this paper, the authors are using the FP-growth algorithm for obtaining frequent access patterns from the web log data and providing valuable information about the user's interest.
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