DocumentCode :
2940335
Title :
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
Link To Document :
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