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Web structure mining: An introduction
Miguel Gomes da Costa Júnior; Zhiguo Gong
2005-12-01
Conference Name2005 IEEE International Conference on Information Acquisition
Source PublicationICIA 2005 - Proceedings of 2005 International Conference on Information Acquisition
Volume2005
Pages590-595
Conference Date27 June-3 July 2005
Conference PlaceHong Kong, China, China
Abstract

Due to the increasing amount of data available online, the World Wide Web has becoming one of the most valuable resources for information retrievals and knowledge discoveries. Web mining technologies are the right solutions for knowledge discovery on the Web. The knowledge extracted from the Web can be used to raise the performances for Web information retrievals, question answering, and Web based data warehousing. In this paper, we provide an introduction of Web mining as well as a review of the Web mining categories. Then we focus on one of these categories: the Web structure mining. Within this category, we introduce link mining and review two popular methods applied in Web structure mining: HITS and PageRank.

KeywordLink Mining Web Mining Web Structure Mining
DOI10.1109/ICIA.2005.1635156
URLView the original
Indexed BySCIE ; CPCI-S
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Theory & Methods 0.402
WOS IDWOS:000239658700012
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationDepartment of Computer and information Science Faculty of Science and Technology University of Macau
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Miguel Gomes da Costa Júnior,Zhiguo Gong. Web structure mining: An introduction[C],2005:590-595.
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