An artificial immune system for recommend relevant information through political weblogs

• Main Authors: Muhammad Nasir, Ahmad Nadzri, Selamat, Ali, Selamat, Hafiz
• Format: Conference or Workshop Item
• Published: 2009
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/14846/; http://dx.doi.org/10.1145/1806338.1806416

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.