Anzeige
Erschienen in:
2015 | OriginalPaper | Buchkapitel
PREFIX-PROJECTION Global Constraint for Sequential Pattern Mining
verfasst von : Amina Kemmar, Samir Loudni, Yahia Lebbah, Patrice Boizumault, Thierry Charnois
Erschienen in: Principles and Practice of Constraint Programming
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Sequential pattern mining under constraints is a challenging data mining task. Many efficient ad hoc methods have been developed for mining sequential patterns, but they are all suffering from a lack of genericity. Recent works have investigated Constraint Programming (CP) methods, but they are not still effective because of their encoding. In this paper, we propose a global constraint based on the projected databases principle which remedies to this drawback. Experiments show that our approach clearly outperforms CP approaches and competes well with ad hoc methods on large datasets.