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

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
URLView the original
Indexed BySCIE ; CPCI-S
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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Document TypeConference paper
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.
APA Miguel Gomes da Costa Júnior,&Zhiguo Gong.(2005).Web structure mining: An introduction.ICIA 2005 - Proceedings of 2005 International Conference on Information Acquisition,2005,590-595.
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