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  1. University of Computer Studies, Yangon
  2. Conferences

Implementation of focused crawler by using machine learning approach

http://hdl.handle.net/20.500.12678/0000004891
http://hdl.handle.net/20.500.12678/0000004891
e0c827c1-c1e8-42e3-8958-3453e5057431
3dd29558-6b2e-4561-b1b5-364c0c6e88b4
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psc2010paper psc2010paper (104).pdf (370 Kb)
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Article
Upload type
Publication
Title
Title Implementation of focused crawler by using machine learning approach
Language en
Publication date 2010-12-16
Authors
Ye, Yamin Shwe
Soe, Khin Mar
Description
The rapid growth of web generated on theinternet by millions of users poses many challengesfor general purpose search engines (for example,scaling).Typically a general purpose search engineconsists of three main parts, Crawler, Indexer andQuery processing system. The crawlers of a generalpurpose search engine crawl every page. Soproblems arise when we need to retrieve onlycorresponding portion of the web, especially for atopic or a group of topic. Such requirement can befulfilled by a domain specific crawler or focusedcrawler. Focused crawler crawls only those pagesthat are interested by the system. A focused crawlertraverses the web selecting out relevant pages to apredefined topic and neglecting those out of concern.The focused crawler determines which portion of theweb is relevant and which is not. That can be doneby several machine learning approach used in textcategorization. This thesis proposes a focusedcrawler by using neural network. It can be used tobuild general purpose domain specific search engine.
Keywords
Focused Crawling Approach, Search Engine, Machine Learning
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/791
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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