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Synthesis of Two Solutions of Mobility Prediction Based on Data Mining Techniques

Authors:
Linda Chamek
Mehammed Daoui
Malika Belkadi
Mustapha Lalam

Keywords: Mobile networks, prediction, Data mining, location management

Abstract:
In this work, we present a synthesis of two works about mobile location based on data mining techniques; classification and clustering. Our solution can be implemented in a third generation network, by exploiting information of users (age, function, residence place, work place, …), the existents infrastructure (roads, …) and the history of displacements. Simulations carried out using a realistic model of movements showed that our strategy can accurately predict up to of 80% of mobiles’ displacements and this by unknowing their history of mobility

Pages: 124 to 129

Copyright: Copyright (c) IARIA, 2015

Publication date: May 24, 2015

Published in: conference

ISSN: 2308-4006

ISBN: 978-1-61208-404-6

Location: Rome, Italy

Dates: from May 24, 2015 to May 29, 2015