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arXiv · 1409.7777

Using Answer Set Programming for pattern mining

Thomas Guyet·Yves Moinard·René Quiniou
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Abstract

Serial pattern mining consists in extracting the frequent sequential patterns from a unique sequence of itemsets. This paper explores the ability of a declarative language, such as Answer Set Programming (ASP), to solve this issue efficiently. We propose several ASP implementations of the frequent sequential pattern mining task: a non-incremental and an incremental resolution. The results show that the incremental resolution is more efficient than the non-incremental one, but both ASP programs are less efficient than dedicated algorithms. Nonetheless, this approach can be seen as a first step toward a generic framework for sequential pattern mining with constraints.

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Thomas Guyet, Yves Moinard, René Quiniou. 2014-09-27. Using Answer Set Programming for pattern mining. https://arxiv.org/abs/1409.7777

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