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.
(1) HydroSciences Montpellier, Université de Montpellier IRD CNRS, France (borrell.valerie@free.fr), (2) LISAH, INRA, France (roger.moussa@inra.fr), (3) OSU OREME, IRD-Université de Montpellier, France (eric.servat@ird.fr), (4) OSU OREME, Université de Rouen IRD, France (david.sebag@univ-rouen.fr), (5) Université de Yaoundé 1, Cameroun (jrndam@hotmail.fr), (6) Université de Ngaoundéré, Cameroun (ngatchangou@yahoo.fr