Hybrid system to analyze user's behaviour - Archive ouverte HAL Access content directly
Conference Papers Year : 2017

Hybrid system to analyze user's behaviour


The evolution of ambient intelligence systems has allowed for the development of adaptable systems. These systems trace user's habits in an automatic way and act accordingly, resulting in a context aware system. The goal is to make these systems adaptable to the user's environment, without the need for their direct interaction. This paper proposes a system that can learn from users' behavior. In order for the system to perform effectively, an adaptable multi agent system is proposed and the results are compared with the use of several classifiers.
Fichier principal
Vignette du fichier
guivarch_18893.pdf (285.55 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01736261 , version 1 (16-03-2018)


  • HAL Id : hal-01736261 , version 1
  • OATAO : 18893


Valérian Guivarch, Juan Francisco De Paz Santana, Gabriel Villarrubia, Javier Bajo, André Péninou, et al.. Hybrid system to analyze user's behaviour. IEEE Symposium Series on Computational Intelligence (SSCI 2016), Dec 2016, Athens, Greece. pp. 1-5. ⟨hal-01736261⟩
50 View
47 Download


Gmail Facebook Twitter LinkedIn More