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2009 | OriginalPaper | Chapter
Mining Heterogeneous Information Networks by Exploring the Power of Links
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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.