Universiti Teknologi Malaysia Institutional Repository

An artificial immune system for recommend relevant information through political weblogs

Muhammad Nasir, Ahmad Nadzri and Selamat, Ali and Selamat, Hafiz (2009) An artificial immune system for recommend relevant information through political weblogs. In: The 11th International Conference on Information Integration and Web-based Application & Services (iiWAS2009) , 2009, Asia e University, K. Lumpur.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1145/1806338.1806416

Abstract

These days, when we want to get the relevant and useful information on political issues from the web, it is important for the Internet users to understand the current political situations in the country. Most of Internet users are using applications like web mining system in order to help them in finding all relevant information available in the political weblog. Based on this problem, we have developed a web mining system called WMAIS (web mining using Artificial Immune System). The objective of the WMAIS is to recommend the relevant and interesting information on political issues in Malaysia through political weblogs to the users. From the experiment that have been done using statistic tool called Student T-test, it shows that by using the term frequency scheme in WMAIS, it has managed to recommend relevant and interesting information through political weblogs to the user.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Others
ID Code:14846
Deposited By: Liza Porijo
Deposited On:14 Sep 2011 04:41
Last Modified:14 Sep 2011 04:41

Repository Staff Only: item control page