Research on Graph Data Mining Application Based on Social Network
LI Tao-ta · Computer Technology and Development · 2014
The high complexity of the social network data brings a huge challenge for data mining research. The social network data mining pays more attention to the relationship between entities,and the research and application of graph mining technology is gradually becoming a hotspot in the field. Traditional data mining,such as clustering,classification,frequent pattern mining technology has gradually extended to graph mining field. In this paper,introduce the present the research content of graph data mining algorithm( including graph query,graph clustering,graph classification and frequent sub-graph mining) and the existing problems first. Second introduce the research status of graph database,and compare the advantages and disadvantages of the mainstream graphics database management system. Finally introduce the application of graph mining technology in social network.