An artificial immune system for recommend relevant information through political weblogs

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 fi...

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Bibliographic Details
Main Authors: Muhammad Nasir, Ahmad Nadzri, Selamat, Ali, Selamat, Hafiz
Format: Conference or Workshop Item
Published: 2009
Subjects:
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author Muhammad Nasir, Ahmad Nadzri
Selamat, Ali
Selamat, Hafiz
author_facet Muhammad Nasir, Ahmad Nadzri
Selamat, Ali
Selamat, Hafiz
author_sort Muhammad Nasir, Ahmad Nadzri
collection ePrints
description 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.
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spelling utm.eprints-148462020-06-30T08:39:05Z http://eprints.utm.my/14846/ An artificial immune system for recommend relevant information through political weblogs Muhammad Nasir, Ahmad Nadzri Selamat, Ali Selamat, Hafiz QA75 Electronic computers. Computer science 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. 2009 Conference or Workshop Item PeerReviewed 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. http://dx.doi.org/10.1145/1806338.1806416
spellingShingle QA75 Electronic computers. Computer science
Muhammad Nasir, Ahmad Nadzri
Selamat, Ali
Selamat, Hafiz
An artificial immune system for recommend relevant information through political weblogs
title An artificial immune system for recommend relevant information through political weblogs
title_full An artificial immune system for recommend relevant information through political weblogs
title_fullStr An artificial immune system for recommend relevant information through political weblogs
title_full_unstemmed An artificial immune system for recommend relevant information through political weblogs
title_short An artificial immune system for recommend relevant information through political weblogs
title_sort artificial immune system for recommend relevant information through political weblogs
topic QA75 Electronic computers. Computer science
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