Correlation mining has gained great success in many application domains for its ability to capture underlying dependencies between objects. However, research on correlation mining ...
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation ...
Most previously proposed frequent graph mining algorithms are intended to find the complete set of all frequent, closed subgraphs. However, in many cases only a subset of the freq...
Recently, due to its wide applications, (similar) subgraph search has attracted a lot of attentions from database and data mining community, such as [13, 18, 19, 5]. In [8], Ke et ...
Graphs are widely used for modeling complicated data, including chemical compounds, protein interactions, XML documents, and multimedia. Information retrieval against such data ca...
Haoliang Jiang, Haixun Wang, Philip S. Yu, Shuigen...