PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Efficient frequent connected subgraph mining in graphs of bounded treewidth
Tamas Horvath and Jan Ramon
Theoretical Computer Science Volume 411, pp. 2784-2797, 2010. ISSN 0304-3975

Abstract

The frequent connected subgraph mining problem, i.e., the problem of listing all connected graphs that are subgraph isomorphic to at least a certain number of transaction graphs of a database, cannot be solved in output polynomial time in the general case. If, however, the transaction graphs are restricted to forests then the problem becomes tractable. In this paper we generalize the positive result on forests to graphs of bounded treewidth. In particular, we show that for this class of transaction graphs, frequent connected subgraphs can be listed in incremental polynomial time. Since subgraph isomorphism remains NP-complete for bounded treewidth graphs, the positive complexity result of this paper shows that efficient frequent pattern mining is possible even for computationally hard pattern matching operators.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:7154
Deposited By:Jan Ramon
Deposited On:07 March 2011