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Conference papers

Détection de changements dans des flots de données qualitatives

Abstract : In real world applications, data streams have categorical features, and changes induced in the data distribution of these categorical features have not been considered extensively so far. Previous work focused on detecting changes in the accuracy of the learners, but without considering changes in the data distribution. To cope with these issues, we propose a new unsupervised change detection method well suited for categorical data streams.
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Submitted on : Wednesday, July 5, 2017 - 11:48:33 AM
Last modification on : Friday, October 22, 2021 - 3:07:41 PM
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  • HAL Id : hal-01556565, version 1
  • IRSTEA : PUB00054281


Dino Ienco, Albert Bifet, Bernhard Pfahringer, Pascal Poncelet. Détection de changements dans des flots de données qualitatives. 14e Journées Internationales Francophones sur l'Extraction et la Gestion des Connaissances (EGC), Jan 2014, Rennes, France. pp.517-520. ⟨hal-01556565⟩



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