Universiti Teknologi Malaysia Institutional Repository

Web mining for Malaysia’s political social networks using artificial immune system

Muhammad Nasir, Ahmad Nadzri and Selamat, Ali and Selamat, Md. Hafiz (2009) Web mining for Malaysia’s political social networks using artificial immune system. In: Knowledge Acquisition: Approaches, Algorithms and Applications. Springer Verlag, Germany, pp. 137-146. ISBN 978-364201714-8

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Official URL: http://dx.doi.org/10.1007/978-3-642-01715-5_12


Currently, politic is one of the critical and hot issues in Malaysia. There are many aspects that are related with politics. These politic aspects are mainly about spreading rumors and information through cyberspace that created positive and negative effects to the political situations in Malaysia. There are many branches of cyberspace that can be used by the Internet users to channel their opinions such as websites, forums and blogs which contain the political issues in Malaysia. In this paper, we have analyzed an adaptive model of web mining using Artificial Immune System (AIS) to retrieve the list of URLs that have relevant information on political issues in Malaysia. In addition, we have also used a concept of social network analysis in order to understand the relationships among the websites and web pages related to the political issues in Malaysia. The results from this model have been used to analyze the social networks and the impact of online community which contribute to the outcome of Malaysia's 12th general election.

Item Type:Book Section
Additional Information:Pacific Rim Knowledge Acquisition Workshop, PKAW 2008; Hanoi; 15 December 2008 through 16 December 2008
Uncontrolled Keywords:artificial immune system, general elections, political parties, social network analysis
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:13189
Deposited By: Liza Porijo
Deposited On:22 Jul 2011 02:01
Last Modified:05 Feb 2017 00:23

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