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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2013 Vol.1(3): 270-272 ISSN: 2301-3559
DOI: 10.7763/LNSE.2013.V1.59

Application of Web Mining Using Clonal Selection Algorithm

Yılmaz Atay and Halife Kodaz
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).


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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