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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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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