EXTRACTION OF INTERESTING PATTERNS THROUGH ASSOCIATION RULE MINING FOR IMPROVEMENT OF WEBSITE USABILITY

Year 2009, Volume: 9 Issue: 2, 1037 - 1046, 25.10.2010

Resul Das , İbrahim Türkoğlu

Abstract

In this paper, a new approach for pre-processing stage of the web usage mining is proposed. The proposed method provides more successful results when dealing with raw log files. Moreover the complexity of the proposed method is considerably low. The related areas in the log files are determined for mining stage. Then, by using the association rules method the interesting patterns are extracted for consequent goals. In the result of this study, knowledge extraction was performed by proposed method. The significant and pure knowledge is contributed to structural organization of website. Besides, web site development and about the availability of the site to give advice to managers and designers are available.

Keywords

Web usage mining, Web user access logs, Association rule mining, Knowledge extraction

EXTRACTION OF INTERESTING PATTERNS THROUGH

Abstract

In this paper, a new approach for pre-processing stage of the web usage mining is proposed. The proposed
method provides more successful results when dealing with raw log files. Moreover the complexity of the
proposed method is considerably low. The related areas in the log files are determined for mining stage. Then,
by using the association rules method the interesting patterns are extracted for consequent goals. In the result of
this study, knowledge extraction was performed by proposed method. The significant and pure knowledge is
contributed to structural organization of website. Besides, web site development and about the availability of the
site to give advice to managers and designers are available.

Keywords

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