Des travaux récents ont montré l’intérêt de la programmation par contraintes pour la fouille de données. Dans cette thèse, nous nous intéressons à la recherche de motifs sur séquences, et en particulier à la caractérisation, à l’aide de motifs, de classes de séquences pré-établies. Nous proposons à cet effet un langage de modélisation à base de contraintes qui suppose une représentation matricielle du jeu de séquences. Un motif s’y définit comme un ensemble de caractères (ou de patrons) et pour chacun une localisation dans différentes séquences. Diverses contraintes peuvent alors s’appliquer : validité des localisations, couverture d’une classe de séquences, ordre sur les localisations des caractères commun aux séquences, etc. Nous formulon...
Until recently, data mining and Constraint Programming have been developed separately one from the o...
International audienceConsiderable effort has been invested over the years in ad-hoc algorithms for ...
The main advantage of Constraint Programming (CP) approaches for sequential pattern mining (SPM) is ...
Recent works have shown the relevance of constraint programming to tackle data mining tasks. This th...
Recent works have shown the relevance of constraint programming to tackle data mining tasks. This th...
Recent works have shown the relevance of constraint programming to tackle data mining tasks. This th...
International audienceConstraint-based pattern discovery is at the core of numerous data mining task...
Pattern mining is a significant field of Knowledge Discovery inDatabases. This thesis deals with the...
International audienceConstraint-based pattern discovery is at the core of numerous data mining task...
International audienceConstraint-based pattern discovery is at the core of numerous data mining task...
The purpose of Pattern Mining (PM) is the discovery of patterns, knowledge, and information in data ...
International audienceConstraint-based pattern discovery is at the core of numerous data mining task...
Pattern mining is a significant field of Knowledge Discovery inDatabases. This thesis deals with the...
Until recently, data mining and Constraint Programming have been developed separately one from the o...
Until recently, data mining and Constraint Programming have been developed separately one from the o...
Until recently, data mining and Constraint Programming have been developed separately one from the o...
International audienceConsiderable effort has been invested over the years in ad-hoc algorithms for ...
The main advantage of Constraint Programming (CP) approaches for sequential pattern mining (SPM) is ...
Recent works have shown the relevance of constraint programming to tackle data mining tasks. This th...
Recent works have shown the relevance of constraint programming to tackle data mining tasks. This th...
Recent works have shown the relevance of constraint programming to tackle data mining tasks. This th...
International audienceConstraint-based pattern discovery is at the core of numerous data mining task...
Pattern mining is a significant field of Knowledge Discovery inDatabases. This thesis deals with the...
International audienceConstraint-based pattern discovery is at the core of numerous data mining task...
International audienceConstraint-based pattern discovery is at the core of numerous data mining task...
The purpose of Pattern Mining (PM) is the discovery of patterns, knowledge, and information in data ...
International audienceConstraint-based pattern discovery is at the core of numerous data mining task...
Pattern mining is a significant field of Knowledge Discovery inDatabases. This thesis deals with the...
Until recently, data mining and Constraint Programming have been developed separately one from the o...
Until recently, data mining and Constraint Programming have been developed separately one from the o...
Until recently, data mining and Constraint Programming have been developed separately one from the o...
International audienceConsiderable effort has been invested over the years in ad-hoc algorithms for ...
The main advantage of Constraint Programming (CP) approaches for sequential pattern mining (SPM) is ...