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Dynamic knowledge mapping guided by data mining: Application on Healthcare

Author

Listed:
  • Menaouer Brahami

    (ENPO-MA - École Nationale Polytechnique d'Oran Maurice Audin)

  • Baghdad Atmani

    (ENPO-MA - École Nationale Polytechnique d'Oran Maurice Audin)

  • Nada Matta

    (Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique - CNRS - Centre National de la Recherche Scientifique)

Abstract

The capitalization of know-how, knowledge management, and the control of the constantly growing information mass has become the new strategic challenge for organizations that aim to capture the entire wealth of knowledge (tacit and explicit). Thus, knowledge mapping is a means of (cognitive) navigation to access the resources of the strategic heritage knowledge of an organization. In this paper, we present a new mapping approach based on the Boolean modeling of critical domain knowledge and on the use of different data sources via the data mining technique in order to improve the process of acquiring knowledge explicitly. To evaluate our approach, we have initiated a process of mapping that is guided by machine learning that is artificially operated in the following two stages: data mining and automatic mapping. Data mining is be initially run from an induction of Boolean case studies (explicit). The mapping rules are then used to automatically improve the Boolean model of the mapping of critical knowledge.

Suggested Citation

  • Menaouer Brahami & Baghdad Atmani & Nada Matta, 2013. "Dynamic knowledge mapping guided by data mining: Application on Healthcare," Post-Print hal-02888988, HAL.
  • Handle: RePEc:hal:journl:hal-02888988
    DOI: 10.3745/JIPS.2013.9.1.001
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    Cited by:

    1. Murillo Vetroni Barros & Mariane Bigarelli Ferreira & Guilherme Francisco Prado & Cassiano Moro Piekarski & Claudia Tania Picinin, 2020. "The interaction between knowledge management and technology transfer: a current literature review between 2013 and 2018," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1585-1606, October.

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