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Review of Artificial Immune System in Web Personalization

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2 Author(s)
Rastegari, H. ; Fac. of Comput. Sci. & Inf. Syst., Univ. Technol. Malaysia, Skudai, Malaysia ; Shamsuddin, S.M.

This paper is a review on knowledge discovery in the field of web mining for the benefit of research on the personalization of web-based information services. The essence of personalization is the adaptability of information systems to the needs of their users. This issue is becoming increasingly important on the Web, as non-expert users are overcame by the quantity of information available online. This article investigates the application of artificial immune systems (AIS) to knowledge discovery as a web personalization tool. AIS are thought to confer the adaptability and learning required for this task.

Published in:

Soft Computing and Pattern Recognition, 2009. SOCPAR '09. International Conference of

Date of Conference:

4-7 Dec. 2009