Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, Epiciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

Refinement Strategies for Correlating Context and User Behavior in Pervasive Information Systems

Abstract : Large amounts of traces can be collected by Pervasive Information Systems, reflecting user's actions and the context in which these actions have been performed (location, date, time, network connection, etc.). This article proposes refinement strategies with different frequency measurements on contextual elements in order to better analyze the impact of these elements on the user's behavior. These strategies are based on data mining and Formal Concept Analysis and used to refine input data in order to identify the context elements that have a strong impact on user behaviors. We go further on context analysis by cognizing FCA with semantic distance measures calculated based on a context ontology. The proposed context analysis is further on evaluated in experiments with real data. The novelties of this work lies on these refinement strategies which can lead to a better understanding of context impact. Such understanding represents an important step towards personalization and recommendation features.
Document type :
Conference papers
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download
Contributor : Ali Jaffal Connect in order to contact the contributor
Submitted on : Thursday, June 11, 2015 - 1:07:08 PM
Last modification on : Monday, May 9, 2022 - 5:16:05 PM
Long-term archiving on: : Saturday, September 12, 2015 - 10:56:19 AM


Refinement Strategies for Corr...
Publisher files allowed on an open archive


Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License




Ali Jaffal, Bénédicte Le Grand, Manuele Kirsch-Pinheiro. Refinement Strategies for Correlating Context and User Behavior in Pervasive Information Systems. International Workshop on Big Data and Data Mining Challenges on IoT and Pervasive Systems (BigD2M 2015), Jun 2015, London, United Kingdom. ⟨10.1016/j.procs.2015.05.103⟩. ⟨hal-01162783⟩



Record views


Files downloads