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Title

Deriving Connectivity and Application Usage Patterns From Longitudinal Mobile Phone Usage Data

Authors
Barmpounakis, Sokratis
Published in Laurila, J. & Gatica - Perez, D. Mobile Data Challenge MDC 2012 (by Nokia) Workshop organized in conjunction with the 20th International Conference on Pervasive Computing 2012. Newcastle (United Kingdom) - 18-22 June 2012 - . 2012, p. 6
Abstract In this paper, based on the Mobile Data Challenge data obtained from the Lausanne data collection campaign, our research aims first to derive network connectivity (e.g., WLAN, 3G) and its Quality of Service (QoS) and mobility patterns of the mobile users, as this connectivity and QoS relate to the user's application activity. Second, we aim to understand how these patterns relate to the overall Quality of Experience (QoE) of the user. Concerning the mobility patterns, we define indoor and outdoor activity for each mobile user. Moreover, we attempt to define semantic places using time filters and GIS techniques, which could also be correlated to the application activity of the users. By correlating the above with the application activity of the users, as well as the hour and weekday patterns, certain inferences can be extracted, concerning the users' spatial and temporal behaviour. These inferences could be used further in developing methods for assurance of the mobile users' QoE.
Keywords Mobile phone application usageConnectivityMobilityLocationPatterns extractionLongitudinal dataData mining
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Research group Institute of Information Service Science (ISS)
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WAC, Katarzyna, BARMPOUNAKIS, Sokratis. Deriving Connectivity and Application Usage Patterns From Longitudinal Mobile Phone Usage Data. In: Laurila, J. & Gatica - Perez, D. (Ed.). Mobile Data Challenge MDC 2012 (by Nokia) Workshop organized in conjunction with the 20th International Conference on Pervasive Computing 2012. Newcastle (United Kingdom). [s.l.] : [s.n.], 2012. p. 6. https://archive-ouverte.unige.ch/unige:55845

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Deposited on : 2015-04-28

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