CET: a tool for creative exploration of graphs

Authors:
Stefan Haun;Andreas Nürnberger;Tobias Kötter;Kilian Thiel;Michael R. Berthold
Affiliations:
Data and Knowledge Engineering Group, Faculty of Computer Science, Otto-von-Guericke-University, Germany;Data and Knowledge Engineering Group, Faculty of Computer Science, Otto-von-Guericke-University, Germany;Nycomed-Chair for Bioinformatics and Information Mining, University of Konstanz, Germany;Nycomed-Chair for Bioinformatics and Information Mining, University of Konstanz, Germany;Nycomed-Chair for Bioinformatics and Information Mining, University of Konstanz, Germany
Venue:
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Year:
2010

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Abstract

We present a tool for interactive exploration of graphs that integrates advanced graph mining methods in an interactive visualization framework. The tool enables efficient exploration and analysis of complex graph structures. For flexible integration of state-of-the-art graph mining methods, the viewer makes use of the open source data mining platform KNIME. In contrast to existing graph visualization interfaces, all parts of the interface can be dynamically changed to specific visualization requirements, including the use of node type dependent icons, methods for a marking if nodes or edges and highlighting and a fluent graph that allows for iterative growing, shrinking and abstraction of (sub)graphs.