Exploring the power of links in data mining

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Algorithms like PageRank and HITS have been developed in late 1990s to explore links among Web pages to discover authoritative pages and hubs. Links have also been popularly used in citation analysis and social network analysis. We show that the power of links can be explored thoroughly in data mining, such as classification, clustering, information integration, and object distinction. Some recent results of our research that explore the crucial information hidden inside links will be introduced, including (1) multi-relational classification, (2) user-guided clustering, (3) link-based clustering, and (4) object distinction analysis. The power of links in other analysis tasks will also be discussed in the talk.

Original languageEnglish (US)
Title of host publicationAdvances in Data and Web Management - Joint 9th Asia-Pacific Web Conference, APWeb 2007 and 8th International Conference on Web-Age Information Management, WAIM 2007, Proceedings
PublisherSpringer
Pages2
Number of pages1
ISBN (Print)9783540724834
DOIs
StatePublished - 2007
EventJoint 9th Asia-Pacific Web Conference on Advances in Data and Web Management, APWeb 2007 and 8th International Conference on Web-Age Information Management, WAIM 2007 - Huang Shan, China
Duration: Jun 16 2007Jun 18 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4505 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherJoint 9th Asia-Pacific Web Conference on Advances in Data and Web Management, APWeb 2007 and 8th International Conference on Web-Age Information Management, WAIM 2007
Country/TerritoryChina
CityHuang Shan
Period6/16/076/18/07

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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