UTMCrawler : crawling the E-business social network using genetic algorithm for relevant document searching
The increasing of online social network in the Internet has caused the explosion of search results from the search engines. According to the Google search engine statistics, until 2008 almost 1 trillion web pages have been indexing including the online social network website. Thus, how can we retrie...
Saved in:
Main Authors: | Ibrahim, Siti Nurkhadijah Aishah, Selamat, Ali, Selamat, Mohd. Hafiz |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2009
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/12466/1/SitiNurkhadijahAishah2008_CrawlingtheEBusinessSocialNetwork.pdf http://eprints.utm.my/id/eprint/12466/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-agent crawling systems (MACS) architecture for effective web retrieval
by: Ibrahim, Siti Nurkhadijah Aishah, et al.
Published: (2007) -
Malaysian business community social network mapping on the web based on improved genetic algorithm
by: Ibrahim, Siti Nurkhadijah Aishah, et al.
Published: (2010) -
An Effective Fast Searching Algorithm for Internet Crawling Usage
by: Chia, Zhen Hon, et al.
Published: (2016) -
Scalable E-business social network using multiCrawler agent
by: Ibrahim, Siti Nurkhadijah Aishah, et al.
Published: (2008) -
Improved web searching approach using hybrid genetic algorithm
by: Ibrahim , Siti Nurkhadijah Aishah
Published: (2010)