MASS-CSP: mining with answer set solving for contrast sequential pattern mining

In this paper, we present MASS-CSP (Mining with Answer Set Solving - Contrast Sequential Patterns), a declarative approach to the Contrast Sequential Pattern Mining (CSPM) task, which is based on the logic-based framework of Answer Set Programming (ASP). The CSPM task focuses on identifying signific...

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Veröffentlicht in:	Machine learning Jg. 114; H. 11; S. 235
Hauptverfasser:	Sterlicchio, Gioacchino, Lisi, Francesca Alessandra
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2025 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Computer Science Control Data mining Datasets Declarative programming Efficiency Logic programming Machine Learning Mathematical programming Mechatronics Natural Language Processing (NLP) Pattern analysis Programming languages Robotics Semantic web Simulation and Modeling Syntax Declarative pattern mining Answer set programming Contrast sequential pattern mining
ISSN:	0885-6125, 1573-0565
Online-Zugang:	Volltext
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