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

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

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.

EXTRACTION OF INTERESTING PATTERNS THROUGH

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

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.

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Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Resul Das

İbrahim Türkoğlu

Publication Date October 25, 2010
Published in Issue Year 2009 Volume: 9 Issue: 2

Cite

APA Das, R., & Türkoğlu, İ. (2010). EXTRACTION OF INTERESTING PATTERNS THROUGH ASSOCIATION RULE MINING FOR IMPROVEMENT OF WEBSITE USABILITY. IU-Journal of Electrical & Electronics Engineering, 9(2), 1037-1046.
AMA Das R, Türkoğlu İ. EXTRACTION OF INTERESTING PATTERNS THROUGH ASSOCIATION RULE MINING FOR IMPROVEMENT OF WEBSITE USABILITY. IU-Journal of Electrical & Electronics Engineering. October 2010;9(2):1037-1046.
Chicago Das, Resul, and İbrahim Türkoğlu. “EXTRACTION OF INTERESTING PATTERNS THROUGH ASSOCIATION RULE MINING FOR IMPROVEMENT OF WEBSITE USABILITY”. IU-Journal of Electrical & Electronics Engineering 9, no. 2 (October 2010): 1037-46.
EndNote Das R, Türkoğlu İ (October 1, 2010) EXTRACTION OF INTERESTING PATTERNS THROUGH ASSOCIATION RULE MINING FOR IMPROVEMENT OF WEBSITE USABILITY. IU-Journal of Electrical & Electronics Engineering 9 2 1037–1046.
IEEE R. Das and İ. Türkoğlu, “EXTRACTION OF INTERESTING PATTERNS THROUGH ASSOCIATION RULE MINING FOR IMPROVEMENT OF WEBSITE USABILITY”, IU-Journal of Electrical & Electronics Engineering, vol. 9, no. 2, pp. 1037–1046, 2010.
ISNAD Das, Resul - Türkoğlu, İbrahim. “EXTRACTION OF INTERESTING PATTERNS THROUGH ASSOCIATION RULE MINING FOR IMPROVEMENT OF WEBSITE USABILITY”. IU-Journal of Electrical & Electronics Engineering 9/2 (October 2010), 1037-1046.
JAMA Das R, Türkoğlu İ. EXTRACTION OF INTERESTING PATTERNS THROUGH ASSOCIATION RULE MINING FOR IMPROVEMENT OF WEBSITE USABILITY. IU-Journal of Electrical & Electronics Engineering. 2010;9:1037–1046.
MLA Das, Resul and İbrahim Türkoğlu. “EXTRACTION OF INTERESTING PATTERNS THROUGH ASSOCIATION RULE MINING FOR IMPROVEMENT OF WEBSITE USABILITY”. IU-Journal of Electrical & Electronics Engineering, vol. 9, no. 2, 2010, pp. 1037-46.
Vancouver Das R, Türkoğlu İ. EXTRACTION OF INTERESTING PATTERNS THROUGH ASSOCIATION RULE MINING FOR IMPROVEMENT OF WEBSITE USABILITY. IU-Journal of Electrical & Electronics Engineering. 2010;9(2):1037-46.