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Temporal Patterns Visualization for Knowledge Acquisition in Dynamic Decision-Making Environment

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Intelligent Systems Design and Applications (ISDA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 557))

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Abstract

To support decision-making, several visual data mining methods were developed to facilitate visual analysis and extraction of hidden and interesting patterns, particularly from temporal data. Such patterns allow decision-makers to timely and quickly recognize, gain insight and interpret the knowledge in their temporal visual representation. In this paper, a visualization method is proposed to articulate the knowledge produced by these temporal patterns. This method was applied to generate a patterns visualization tool to fight against nosocomial infections in the intensive care units to prove its viability.

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Author information

Authors and Affiliations

  1. METS Micro Electro Thermal Systems, National School of Engineers (ENIS), University of Sfax, BP W, 3038, Sfax, Tunisia

    Jihed Elouni & Mohamed Masmoudi

  2. REGIM: REsearch Groups in Intelligent Machines, National School of Engineers (ENIS), University of Sfax, BP W, 3038, Sfax, Tunisia

    Hela Ltifi & Mounir Ben Ayed

Authors
  1. Jihed Elouni
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  2. Hela Ltifi
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  3. Mounir Ben Ayed
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  4. Mohamed Masmoudi
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Corresponding author

Correspondence to Jihed Elouni .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Instituto Superior de Engenharia do Port, Porto, Portugal

    Ana Maria Madureira

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  3. Polytechnic Institute of Porto, Felgueiras, Portugal

    Dorabela Gamboa

  4. Campus of Gualtar, University of Minho, Braga, Portugal

    Paulo Novais

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Elouni, J., Ltifi, H., Ben Ayed, M., Masmoudi, M. (2017). Temporal Patterns Visualization for Knowledge Acquisition in Dynamic Decision-Making Environment. In: Madureira, A., Abraham, A., Gamboa, D., Novais, P. (eds) Intelligent Systems Design and Applications. ISDA 2016. Advances in Intelligent Systems and Computing, vol 557. Springer, Cham. https://doi.org/10.1007/978-3-319-53480-0_83

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  • DOI: https://doi.org/10.1007/978-3-319-53480-0_83

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53479-4

  • Online ISBN: 978-3-319-53480-0

  • eBook Packages: EngineeringEngineering (R0)

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