Improving constrained pattern mining with first-fail-based heuristics
Improving constrained pattern mining with first-fail-based heuristics
Desrosiers, Christian and Galinier, Philippe and Hertz, Alain and Hansen, Pierre
Data Mining and Knowledge Discovery 2011
Abstract : In this paper, we present a general framework to mine patterns with antimonotone constraints. This framework uses a technique that structures the pattern space in a way that facilitates the integration of constraints within the mining process. Furthermore, we also introduce a powerful strategy that uses background information on the data to speed-up the mining process.We illustrate our approach on a popular structured data mining problem, the frequent subgraph mining problem, and show, through experiments on synthetic and real-life data, that this general approach has advantages over state-of-the-art pattern mining algorithms. © 2010 The Author(s).