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Communication Dans Un Congrès Année : 2023

Extracting frequent gradual patterns based on SAT

Résumé

This paper proposes a constraint-based modeling approach for mining frequent gradual patterns from numerical data. Our declarative approach provides a principle way to take advantage of recent advancements in satisfiability testing and several features of modern SAT solvers to enumerating gradual patterns. Interestingly, our approach can easily be extended with extra requirements, such as temporal constraints used to extract more specific patterns in a broad range of gradual patterns mining applications. An empirical evaluation on two real-word datasets shows the efficiency of our approach.

Dates et versions

hal-04343730 , version 1 (14-12-2023)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

Citer

Jerry Lonlac, Imen Dlala, Said Jabbour, Engelbert Nguifo, Badran Raddaoui, et al.. Extracting frequent gradual patterns based on SAT. 12th International Conference on Data Science, Technology and Applications (DATA ), Jul 2023, Rome, Italy. pp.136-143, ⟨10.5220/0012126000003541⟩. ⟨hal-04343730⟩
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