Review of Artificial Immune System in Web Personalization

Author

Rastegari, Hamid ; Shamsuddin, Siti Mariyam

Author_Institution

Fac. of Comput. Sci. & Inf. Syst., Univ. Technol. Malaysia, Skudai, Malaysia

fYear

2009

fDate

4-7 Dec. 2009

Firstpage

699

Lastpage

702

Abstract

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.

Keywords

Web services; data mining; artificial immune system; based information services; knowledge discovery; web mining; web personalization; Artificial immune systems; Computer graphics; Curve fitting; Data mining; Image segmentation; Information science; Iterative algorithms; Pattern recognition; Phase detection; Shape; Artificial Immune System; Clonal Selection; Pattern Discovery; Web Personalization; Web Usage Mining;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Malacca

Print_ISBN

978-1-4244-5330-6

Electronic_ISBN

978-0-7695-3879-2

Type

conf

DOI

10.1109/SoCPaR.2009.140

Filename

5370960