Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Learning to extract symbolic knowledge from the World Wide Web
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Data mining: concepts and techniques
Data mining: concepts and techniques
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Automating the Construction of Internet Portals with Machine Learning
Information Retrieval
IEEE Intelligent Systems
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Link mining is also called social network analysis. It is a new study of data mining. It is different from the traditional data mining methods. Link information is used in link mining. Link information provides richer and more accurate information about the social network. In this paper, a representation is chosen by Graph, Dyad and Subgraph for the statistical inference of mining. And then based on the defining of the graph structure and link type, the model of getting the link features is built. Last a combining link-based and content-based classification method is proposed, and this method is proved to improve the result of classification.