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International Conference on Web Information Systems Engineering

WISE 2014: Web Information Systems Engineering – WISE 2014 Workshops pp 204–210Cite as

Data Streams Quality Evaluation for the Generation of Alarms in Health Domain

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9051))

Abstract

In this paper we present a proposal for managing data streams from sensors that are installed in patients’ homes in order to monitor their health. It focuses on processing the sensors data streams taking into account data quality. In order to achieve this, a data quality model for this kind of data streams and an architecture for the monitoring system are proposed. Besides, our work induces a mechanism for avoiding false alarms generated by data quality problems.

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Author information

Authors and Affiliations

  1. Universidad de la República, Montevideo, Uruguay

    Saúl Fagúndez, Joaquín Fleitas & Adriana Marotta

Authors
  1. Saúl Fagúndez
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  2. Joaquín Fleitas
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  3. Adriana Marotta
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Corresponding author

Correspondence to Adriana Marotta .

Editor information

Editors and Affiliations

  1. University of New South Wales, Sydney, Australia

    Boualem Benatallah

  2. Boston University, Boston, Massachusetts, USA

    Azer Bestavros

  3. University of Genova, Genova, Italy

    Barbara Catania

  4. CSIRO ICT Centre, Canberra, Australia

    Armin Haller

  5. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Yannis Manolopoulos

  6. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Athena Vakali

  7. Victoria University, Footscray, Australia

    Yanchun Zhang

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Fagúndez, S., Fleitas, J., Marotta, A. (2015). Data Streams Quality Evaluation for the Generation of Alarms in Health Domain. In: Benatallah, B., et al. Web Information Systems Engineering – WISE 2014 Workshops. WISE 2014. Lecture Notes in Computer Science(), vol 9051. Springer, Cham. https://doi.org/10.1007/978-3-319-20370-6_16

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  • DOI: https://doi.org/10.1007/978-3-319-20370-6_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20369-0

  • Online ISBN: 978-3-319-20370-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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