Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/395127
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dc.contributor.authorSiti Nurkhadijah Aishah-
dc.contributor.authorAli Selamat-
dc.contributor.authorMd. Hafiz Selamat-
dc.date.accessioned2023-06-15T07:55:36Z-
dc.date.available2023-06-15T07:55:36Z-
dc.identifier.otherukmvital:123031-
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/395127-
dc.description.abstractIn this paper, we present the optimization of e-business social network visualization using genetic algorithm (GA). Basically, it is important to visualize the map of the Internet searching because it helps user to better understand how and why they interact with each other. It is also helps them to search information in a very fast way and more related to their searched. Furthermore, the result returns by the conventional search engine sometimes are not relevant to the user search. Here, we proposed the query optimization search system based on genetic algorithm (GA) to solve this problem and visualize the connection between them. Experiment results demonstrate that it is very effective to improve the search of the relevant web pages using the genetic algorithm.-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE),Piscataway, US-
dc.subjectE--business-
dc.subjectSocial network-
dc.subjectGenetic algorithm-
dc.titleOptimization of e-business social network mapping using genetic algorithm-
dc.typeSeminar Papers-
dc.format.pages7-
dc.identifier.callnoT58.5.C634 2008 kat sem j.3-
dc.contributor.conferencenameInternational Symposium on Information Technology-
dc.coverage.conferencelocationKuala Lumpur Convention Centre-
dc.date.conferencedate26/08/2008-
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

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