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Mining Heterogeneous Information Networks by Yizhou Sun, Jiawei Han

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CHAPTER 6

Relation Strength-Aware Clustering with Incomplete Attributes

A heterogeneous information network contains multiple types of objects as well as multiple types of links, indicating different sorts of interactions among these objects. The heterogeneity of network model brings rich semantic information for mining. It also raises the issue of selecting the right type of information for different mining purposes. For mining different kinds of knowledge, it is desirable to automatically learn the right information encoded in the network, with limited guidance from users. In this chapter, we study a special case of such problems: cluster objects in a network, with user-provided attribute set and relations from the original network schema. ...

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