NDLI: Summary : Literature Review about Artificial Immune System for Finding Relevant Information through Political Weblog

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Summary : Literature Review about Artificial Immune System for Finding Relevant Information through Political Weblog

Content Provider	Semantic Scholar
Author	Muhammad, Ahmad Nasir
Copyright Year	2009
Abstract	Currently, there are many weblog that have been posting many story and news about political issues in Malaysia. Therefore, it draws Internet space as an area for political bloggers to be involves in cyber war. There are many factors that contribute to this cyber war such as opinions from bloggers, spreading of rumors and information through cyberspace. Most of the political leaders from political parties in Malaysia are using electronic media such as portal, weblogs, social networking sites and etc. With these types of applications, the bloggers can give their opinions, comments and information about political issues in Malaysia. This scenario helps to grow the population of political bloggers and blog readers in Malaysia. In this paper, we introduce an adaptive model of web mining using Artificial Immune System (WMAIS) to retrieve the list of URLs from website and web pages that relevant information on political issues in Malaysia through political weblog. This model also can be used to identify the social network of political weblog and how the social network can help on widen the blogger readerships.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://comp.utm.my/pars/files/2013/04/Summary-Literature-Review-about-Artificial-Immune-System-for-Finding-Relevant-Information-through-Political-Weblog.pdf
Alternate Webpage(s)	http://comp.utm.my/publications/files/2013/04/Summary-Literature-Review-about-Artificial-Immune-System-for-Finding-Relevant-Information-through-Political-Weblog.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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