Research Article
“Smart Entity” – How to Build DEVS Models from Large Amount of Data and Small Amount of Knowledge?
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@INPROCEEDINGS{10.1007/978-3-030-32216-8_60, author={Thierry Antoine-Santoni and Bastien Poggi and Evelyne Vittori and Ho Hieux and Marielle Delhom and Antoine Aiello}, title={“Smart Entity” -- How to Build DEVS Models from Large Amount of Data and Small Amount of Knowledge?}, proceedings={Simulation Tools and Techniques. 11th International Conference, SIMUtools 2019, Chengdu, China, July 8--10, 2019, Proceedings}, proceedings_a={SIMUTOOLS}, year={2019}, month={10}, keywords={Machine learning DEVS formalism Model generation Decision supports Internet of Thing Big data}, doi={10.1007/978-3-030-32216-8_60} }
- Thierry Antoine-Santoni
Bastien Poggi
Evelyne Vittori
Ho Hieux
Marielle Delhom
Antoine Aiello
Year: 2019
“Smart Entity” – How to Build DEVS Models from Large Amount of Data and Small Amount of Knowledge?
SIMUTOOLS
Springer
DOI: 10.1007/978-3-030-32216-8_60
Abstract
University of Corsica and CNRS are working on a scientific program called “Smart Paesi”. This project focus on a sustainable rural territories development using advanced artificial intelligence concepts in order to adapt smart city concept (including sustainable development, ICT with by example wireless sensors network, education, e-citizenship, governance) to rural territories and their specificities. In this paper, we introduce a new approach combining discrete event modelling concepts and machine learning methods. This work is a first step towards the conception of a generic and scalable framework allowing model generation from large amount of data.
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