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Mining Heterogeneous Information Networks by Yizhou Sun, Jiawei Han

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CHAPTER 3

Classification of Heterogeneous Information Networks

Ming Ji, Department of Computer Science, University of Illinois at Urbana-Champaign

Classification can also take advantage of links in heterogeneous information networks. Knowledge can be effectively propagated across a heterogeneous network because the nodes of the same type that are linked similarly via the same typed links are likely to be similar. Moreover, following the idea of ranking-based clustering, one can explore ranking-based classification since objects highly ranked in a class are likely to play a more important role in classification. In this chapter, we show that by distinguishing the types of links in the networks during class label propagation, the classification ...

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