Automatic graph drawing and readability of diagrams
IEEE Transactions on Systems, Man and Cybernetics
Advances in the theory and practice of graph drawing
Theoretical Computer Science
Trawling the Web for emerging cyber-communities
WWW '99 Proceedings of the eighth international conference on World Wide Web
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Communicating Centrality in Policy Network Drawings
IEEE Transactions on Visualization and Computer Graphics
gSpan: Graph-Based Substructure Pattern Mining
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Fast discovery of connection subgraphs
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
SPIN: mining maximal frequent subgraphs from graph databases
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining Graph Data
Discovering large dense subgraphs in massive graphs
VLDB '05 Proceedings of the 31st international conference on Very large data bases
GMine: a system for scalable, interactive graph visualization and mining
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Concept Analysis for Class Cohesion
CSMR '09 Proceedings of the 2009 European Conference on Software Maintenance and Reengineering
Graph Mining Framework for Finding and Visualizing Substructures Using Graph Database
ASONAM '09 Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining
Proceedings of the VLDB Endowment
Analysis and visualization of social networks
WEA'03 Proceedings of the 2nd international conference on Experimental and efficient algorithms
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In many scientific and commercial domains, graph as a data structure has become increasingly important for modeling of sophisticated structures. In the past few years, there has been sharp increase in research on mining graph data. We had proposed a unified framework for graph mining and analysis of extracted substructures, which was then an unattended task. Pruthak, a graph mining tool is developed based on this proposed framework. The tool provides preprocessing, frequent substructure discovery, dense substructure extraction and visualization techniques for graph representation of data. In this paper we discuss the approach taken in design and implementation of Pruthak. We then talk about our study on the Digital Bibliography & Library Project (DBLP) dataset for mining and analyzing substructures using this tool. The study results have demonstrated the intended correctness and usability of the tool.