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Authors: Souheir Mehanna 1 ; 2 ; Zoubida Kedad 1 and Mohamed Chachoua 2

Affiliations: 1 DAVID Laboratory, University of Versailles UVSQ, Versailles, France ; 2 LASTIG Laboratory, University Gustave Eiffel, EIVP, Paris, France

Keyword(s): Data Quality, Data Completeness, Sensor Data.

Abstract: Mobile sensors are being widely used to monitor air quality to quantify human exposure to air pollution. These sensors are prone to malfunctions, resulting in many data quality issues, which in turn impacts the reliability of analytical studies. In this work, we address the problem of data quality evaluation in mobile crowd-sensing environments, and we focus on data completeness. We introduce a multi-dimensional model to represent the data coming from the sensors in this context and we discuss different facets of data completeness. We propose quality indicators capturing different facets of completeness along with the corresponding quality metrics. We provide some experiments showing the usefulness of our proposal.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Mehanna, S.; Kedad, Z. and Chachoua, M. (2020). Completeness Issues in Mobile Crowd-sensing Environments. In Proceedings of the 16th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-478-7; ISSN 2184-3252, SciTePress, pages 129-138. DOI: 10.5220/0010136201290138

@conference{webist20,
author={Souheir Mehanna. and Zoubida Kedad. and Mohamed Chachoua.},
title={Completeness Issues in Mobile Crowd-sensing Environments},
booktitle={Proceedings of the 16th International Conference on Web Information Systems and Technologies - WEBIST},
year={2020},
pages={129-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010136201290138},
isbn={978-989-758-478-7},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Web Information Systems and Technologies - WEBIST
TI - Completeness Issues in Mobile Crowd-sensing Environments
SN - 978-989-758-478-7
IS - 2184-3252
AU - Mehanna, S.
AU - Kedad, Z.
AU - Chachoua, M.
PY - 2020
SP - 129
EP - 138
DO - 10.5220/0010136201290138
PB - SciTePress

- Science and Technology Publications, Lda.
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