Conception et exploitation d'une base de modèles : application aux data sciences

Abstract : It is common practice in experimental science to use time series to represent experimental results, that usually come as a list of values in chronological order (indexed by time) and generally obtained via sensors connected to the studied physical system. Those series are analyzed to obtain a mathematical model that allow to describe the data and thus to understand and explain the behavio rof the studied system. Nowadays, storage and analyses technologies for time series are numerous and mature, but the storage and management technologies for mathematical models and their linking to experimental numerical data are both scarce and recent. Still, mathematical models have an essential role to play in the interpretation and validation of experimental results. Consequently, an adapted storage system would ease the management and re-usability of mathematical models. This work aims at developing a models database to manage mathematical models and provide a “query by data” system, to help retrieve/identify a model from an experimental time series. In this work, I will describe the conception (from the modeling of the system, to its software architecture) of the models database and its extensions to allow the “query by data”. Then, I will describe the prototype of models database,that I implemented and the results obtained by tests performed on the latter.
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Submitted on : Thursday, November 29, 2018 - 2:31:06 PM
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Cyrille Ponchateau. Conception et exploitation d'une base de modèles : application aux data sciences. Autre [cs.OH]. ISAE-ENSMA Ecole Nationale Supérieure de Mécanique et d'Aérotechique - Poitiers, 2018. Français. ⟨NNT : 2018ESMA0005⟩. ⟨tel-01939430⟩

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