The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
In this paper, we propose to use graph-mining techniques to understand the communication pattern within a data-centre. We model the communication observed within a data-centre as a...
Maitreya Natu, Vaishali P. Sadaphal, Sangameshwar ...
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining pro...
Frequent sub-graph mining entails two significant overheads. The first is concerned with candidate set generation. The second with isomorphism checking. These are also issues with ...
Structured data represented in the form of graphs arises in several fields of the science and the growing amount of available data makes distributed graph mining techniques partic...