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Gradual Pattern Mining Tool on Cloud

Abstract : This paper describes an approach that illustrates how gradual pattern mining algorithms are integrated into a containerized Docker Cloud platform that implements OGC (Open Geospatial Consortium) SensorThings API (application interface). We present a practical application of the SensorThings API as a source of real-time data streams and propose an architecture that allows for extraction of gradual patterns among these data streams.
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Contributor : Isabelle Gouat <>
Submitted on : Monday, February 8, 2021 - 11:23:38 AM
Last modification on : Wednesday, April 28, 2021 - 9:58:01 AM
Long-term archiving on: : Sunday, May 9, 2021 - 6:46:22 PM


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  • HAL Id : lirmm-03134309, version 1



Dickson Owuor, Anne Laurent, Joseph Onderi Orero, Olivier Lobry. Gradual Pattern Mining Tool on Cloud. Revue des Nouvelles Technologies de l'Information, Editions RNTI, 2021, Extraction et Gestion des Connaissances (EGC 2021), RNTI-E-37, pp.429-436. ⟨lirmm-03134309⟩



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