Knowledge Discovery and Rule Extraction Based on Heterogeneous Network Linguistic Formal Context
One of the research hotspots is how to handle data with complex relationships under the uncertainty environment.The network formal context combines complex network analysis and formal concept analysis to provide an effective mathematical tool for knowledge discovery of complex relational data.In this paper,the heterogeneous network linguistic formal context is firstly proposed based on the heterogeneity of network structure.The heterogeneous network contains a subjective network given by experts and an objective network mined by the features of objects.Then,global and local heterogeneous network language concepts are obtained by considering the connectivity of the network,and the algorithms for global and local connectivity knowledge discovery in heterogeneous networks are provided.Finally,an association rule extraction model is constructed based on the heterogeneous network linguistic formal context,and the rationality and effectiveness of knowledge discovery and rule extraction are verified by examples.
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万方数据
