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  1. University of Computer Studies, Yangon
  2. Conferences

Ordering URL for Focused Web Crawlers using Effective Prioritization

http://hdl.handle.net/20.500.12678/0000004698
http://hdl.handle.net/20.500.12678/0000004698
7a9e0199-f497-49a2-b01c-7746134eff9a
5212f4a3-e5ff-48ce-afb4-99b018f8ddbd
Publication type
Article
Upload type
Publication
Title
Title Ordering URL for Focused Web Crawlers using Effective Prioritization
Language en
Publication date 2012-02-28
Authors
Min, Nandar Win
Hlaing, Aye Nandar
Description
Obtaining important pages rapidly is veryuseful when a crawler cannot visit the entire Webin a reasonable amount of time. One approach isusing focused crawler because it tries todownload only pages with pre-defined topic toavoid the irrelevant web documents and reducenetwork traffic. It can also minimize the overallnumber of downloaded Web pages for processingand maximize the percentage of relevant pages.In this paper, we present in what order a focusedcrawler should visit the URLs it has seen, inorder to obtain more “important” pages first.During crawling,Naive Bayes Classifier withfour feature representations is used toenhancecorrectness of a specific topic. Toprovide sorting URLs, we use the Priorityequation that gives every page a score.
Keywords
focused crawler, learningfocused crawler, Naive Bayes classifier, similarity space model
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/395
Journal articles
Tenth International Conference On Computer Applications (ICCA 2012)
Conference papers
Books/reports/chapters
Thesis/dissertations
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