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ThinkMind // UBICOMM 2016, The Tenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies // View article ubicomm_2016_3_30_10132


Machine Learning Technologies in Smart Spaces

Authors:
Soumia Belaidouni
Moeiz Miraoui

Keywords: context-awareness; smart environment; machine learning; prediction; adaptation; performance

Abstract:
Context-awareness is a key element for building a smart environment that responds to users needs. The goal of such environment is to provide proactively services according to the demand of users by considering the user’s context information. Machine learning techniques can provide several benefits. They can be applied in many context-aware systems to help provide services. They have the possibility to make better prediction and adaptation than other techniques. In this paper, we present the main goals of machine learning and some learning algorithms applied in smart space.

Pages: 52 to 55

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-505-0

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016

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