Mining heterogeneous information networks by exploring the power of links

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


Knowledge is power but for interrelated data, knowledge is often hidden in massive links in heterogeneous information networks. We explore the power of links at mining heterogeneous information networks with several interesting tasks, including link-based object distinction, veracity analysis, multidimensional online analytical processing of heterogeneous information networks, and rank-based clustering. Some recent results of our research that explore the crucial information hidden in links will be introduced, including (1) Distinct for object distinction analysis, (2) TruthFinder for veracity analysis, (3) Infonet-OLAP for online analytical processing of information networks, and (4) RankClus for integrated ranking-based clustering. We also discuss some of our on-going studies in this direction.

Original languageEnglish (US)
Title of host publicationDiscovery Science - 12th International Conference, DS 2009, Proceedings
Number of pages18
StatePublished - Nov 16 2009
Event12th International Conference on Discovery Science, DS 2009 - Porto, Portugal
Duration: Oct 3 2009Oct 5 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5808 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other12th International Conference on Discovery Science, DS 2009

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


Dive into the research topics of 'Mining heterogeneous information networks by exploring the power of links'. Together they form a unique fingerprint.

Cite this