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| Classification in Networked Data: A Survey |
| XIONG Wei1, ZHOU Shui-Geng1, GUAN Ji-Hong2 |
1.Shanghai Key Laboratory of Intelligent Information Processing,School of Computer Science,Fudan University ,Shanghai 200433
2.Department of Computer Science Technology,Tongji University,Shanghai 201804 |
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Abstract The rapid increase of network applications generates a lot of networked data. Classification in networked data is recently an important research issue of data mining field. The state of the art techniques of classification in networked data is surveyed. Firstly, the basic concepts of classification in networked data are introduced. Then, major classification algorithms of networked data are reviewed in detail. Next, one challenging issue, classification in sparsely labeled networks, is reviewed extensively, and various solutions to this issue are discussed. Finally, the future development and expectation of networked data classification techniques are summarized.
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Received: 13 June 2010
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2011, Vol. 24 
