Abstract—The Clonal Selection Algorithm is one of the most important algorithms of Artificial Immune Systems. In addition, it is has taken place in multiple studies in recent years. In this study, most visited web pages have been identified from internet access file by using a Clonal Selection Algorithm. In here, Clonal Selection Algorithm is applied to web mining association analysis. Necessary changes according to the association rules have been made in selection and mutation mechanisms of the Clonal Selection Algorithm. Results showed that the proposed method can be applied successfully for association rules.
Index Terms—Artificial immune systems, association rules, clonal selection algorithm, web mining.
The authors are with Computer Engineering Department, Engineering Faculty, Selçuk University, Konya-Turkey (e-mail: yilmazatay@selcuk.edu.tr, hkodaz@selcuk.edu.tr).
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Cite: Yılmaz Atay and Halife Kodaz, "Application of Web Mining Using Clonal Selection Algorithm," Lecture Notes on Software Engineering vol. 1, no. 3, pp. 270-272, 2013.
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