Influenza pattern analysis system through mining weblogs

Weblogs are resource of social structure to discover and track the various type of information written by bloggers. In this paper we proposed to use mining weblogs technique for identifying the trends of influenza where blogger had disseminated their opinion for the anomaly disease. In order to iden...

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Main Authors: Khoo, Pei Lin *, Lee, Yunli *
Format: Article
Language:English
Published: World Academy of Science, Engineering and Technology 2012
Subjects:
Online Access:http://eprints.sunway.edu.my/193/
http://eprints.sunway.edu.my/193/1/Lee%20Yun%20Li%20-%20Influenza%20Pattern%20Analysis%20System%20through%20Mining%20Weblogs.pdf
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author Khoo, Pei Lin *
Lee, Yunli *
author_facet Khoo, Pei Lin *
Lee, Yunli *
author_sort Khoo, Pei Lin *
building SU Institutional Repository
collection Online Access
description Weblogs are resource of social structure to discover and track the various type of information written by bloggers. In this paper we proposed to use mining weblogs technique for identifying the trends of influenza where blogger had disseminated their opinion for the anomaly disease. In order to identify the trends, web crawler is applied to perform a search and generated a list of visited links based on a set of influenza keywords. This information is used to implement the analytics report system for monitoring and analyzing the pattern and trends of influenza (H1N1. Statistical and graphical analysis reports are generated. Both types of the report have shown satisfactory reports that reflect the awareness of Malaysian on the issue of influenza outbreak through blogs.
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spelling sunway-1932019-04-26T07:44:50Z http://eprints.sunway.edu.my/193/ Influenza pattern analysis system through mining weblogs Khoo, Pei Lin * Lee, Yunli * QA76 Computer software Weblogs are resource of social structure to discover and track the various type of information written by bloggers. In this paper we proposed to use mining weblogs technique for identifying the trends of influenza where blogger had disseminated their opinion for the anomaly disease. In order to identify the trends, web crawler is applied to perform a search and generated a list of visited links based on a set of influenza keywords. This information is used to implement the analytics report system for monitoring and analyzing the pattern and trends of influenza (H1N1. Statistical and graphical analysis reports are generated. Both types of the report have shown satisfactory reports that reflect the awareness of Malaysian on the issue of influenza outbreak through blogs. World Academy of Science, Engineering and Technology 2012 Article PeerReviewed text en cc_by_nc http://eprints.sunway.edu.my/193/1/Lee%20Yun%20Li%20-%20Influenza%20Pattern%20Analysis%20System%20through%20Mining%20Weblogs.pdf Khoo, Pei Lin * and Lee, Yunli * (2012) Influenza pattern analysis system through mining weblogs. World Academy of Science, Engineering and Technology, 72. pp. 593-597. ISSN 2010-376X (p-ISSN); 2010-3778 (e-ISSN)
spellingShingle QA76 Computer software
Khoo, Pei Lin *
Lee, Yunli *
Influenza pattern analysis system through mining weblogs
title Influenza pattern analysis system through mining weblogs
title_full Influenza pattern analysis system through mining weblogs
title_fullStr Influenza pattern analysis system through mining weblogs
title_full_unstemmed Influenza pattern analysis system through mining weblogs
title_short Influenza pattern analysis system through mining weblogs
title_sort influenza pattern analysis system through mining weblogs
topic QA76 Computer software
url http://eprints.sunway.edu.my/193/
http://eprints.sunway.edu.my/193/1/Lee%20Yun%20Li%20-%20Influenza%20Pattern%20Analysis%20System%20through%20Mining%20Weblogs.pdf