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arXiv · 1511.08350

A global Constraint for mining Sequential Patterns with GAP constraint

Amina Kemmar·Samir Loudni·Yahia Lebbah·Patrice Boizumault·Thierry Charnois
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Abstract

Sequential pattern mining (SPM) under gap constraint is a challenging task. Many efficient specialized methods have been developed but they are all suffering from a lack of genericity. The Constraint Programming (CP) approaches are not so effective because of the size of their encodings. In[7], we have proposed the global constraint Prefix-Projection for SPM which remedies to this drawback. However, this global constraint cannot be directly extended to support gap constraint. In this paper, we propose the global constraint GAP-SEQ enabling to handle SPM with or without gap constraint. GAP-SEQ relies on the principle of right pattern extensions. Experiments show that our approach clearly outperforms both CP approaches and the state-of-the-art cSpade method on large datasets.

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Amina Kemmar, Samir Loudni, Yahia Lebbah, Patrice Boizumault, Thierry Charnois. 2015-11-26. A global Constraint for mining Sequential Patterns with GAP constraint. https://arxiv.org/abs/1511.08350

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