Abstract
Within the pattern mining area, skypatterns enable to express a user-preference point of view according to a dominance relation. In this paper, we deal with the introduction of softness in the skypattern mining problem. First, we show how softness can provide convenient patterns that would be missed otherwise. Then, thanks to Dynamic CSP, we propose a generic and efficient method to mine skypatterns as well as soft ones. Finally, we show the relevance and the effectiveness of our approach through a case study in chemoinformatics and experiments on UCI benchmarks. © 2014 Springer International Publishing.
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CITATION STYLE
Ugarte Rojas, W., Boizumault, P., Loudni, S., Crémilleux, B., & Lepailleur, A. (2014). Mining (soft-) skypatterns using dynamic CSP. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8451 LNCS, pp. 71–87). Springer Verlag. https://doi.org/10.1007/978-3-319-07046-9_6
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