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Découverte de motifs fréquents guidée par une ontologie

Abstract : The frequent pattern mining generates a huge amount of patterns and therefore requires the establishment of an effective post-treatment to target the most useful. This paper proposes an approach to discover the useful frequent patterns that integrates knowledge described by the expert and represented in an ontology associated with the data. The approach uses the ontology for benefit from more structured information to remove some frequent patterns of the analysis. The experiments realized with our approach give satisfactory results.
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https://hal.archives-ouvertes.fr/hal-01310985
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Submitted on : Thursday, November 24, 2016 - 12:22:18 AM
Last modification on : Wednesday, September 1, 2021 - 11:26:02 AM
Long-term archiving on: : Monday, March 20, 2017 - 4:10:44 PM

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Yaya Traore, Cheikh Talibouya Diop, Sadouanouan Malo, Moussa Lo, Stanislas Ouaro. Découverte de motifs fréquents guidée par une ontologie. Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées, INRIA, 2016, Volume 25 - 2016 - Special issue CNRIA 2015, ⟨10.46298/arima.2558⟩. ⟨hal-01310985v3⟩

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