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Intelligent Systems in Modeling Phase of Information Mining Development Process

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Trends in Applied Knowledge-Based Systems and Data Science (IEA/AIE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9799))

Abstract

The Information Mining Engineering (IME) understands in processes, methodologies, tasks and techniques used to: organize, control and manage the task of finding knowledge patterns in information bases. A relevant task is selecting the data mining algorithms to use, which it is left to the expertise of the information mining engineer, developing it in a non-structured way. In this paper we propose an Information Mining Project Development Process Model (D-MoProPEI) which provides an integrated view in the selection of Information Mining Processes Based on Intelligent Systems (IMPbIS) within the Modeling Phase of the proposed Process Model through a Systematic Deriving Methodology.

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Acknowledgments

The research reported in this paper was partially funded by Project ME-SPU-PROMINF-UNLa-2015-2017 of the Argentinean Ministry of Education and Project UNLa-33A205 of the Secretary of Science and Technology of National University of Lanus (Argentina).

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Authors and Affiliations

  1. PhD Program on Computer Science, National University of La Plata, La Plata, Argentina

    Sebastian Martins

  2. III-LIDI. Computer Sc School, National University of La Plata – CIC Bs as, La Plata, Argentina

    Patricia Pesado

  3. Information Systems Research Group, National University of Lanus, Lanús, Argentina

    Sebastian Martins & Ramón García-Martínez

Authors
  1. Sebastian Martins
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  2. Patricia Pesado
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  3. Ramón García-Martínez
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Corresponding author

Correspondence to Ramón García-Martínez .

Editor information

Editors and Affiliations

  1. Iwate Prefectural University , Iwate, Japan

    Hamido Fujita

  2. Department Computer Science, Texas State University, San Marcos, Texas, USA

    Moonis Ali

  3. Universiti Teknologi Malaysis (UTM), Bahru, Malaysia

    Ali Selamat

  4. Iwate Prefectural University , Iwate, Japan

    Jun Sasaki

  5. Iwate Prefectural University , Iwate, Japan

    Masaki Kurematsu

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Martins, S., Pesado, P., García-Martínez, R. (2016). Intelligent Systems in Modeling Phase of Information Mining Development Process. In: Fujita, H., Ali, M., Selamat, A., Sasaki, J., Kurematsu, M. (eds) Trends in Applied Knowledge-Based Systems and Data Science. IEA/AIE 2016. Lecture Notes in Computer Science(), vol 9799. Springer, Cham. https://doi.org/10.1007/978-3-319-42007-3_1

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  • DOI: https://doi.org/10.1007/978-3-319-42007-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42006-6

  • Online ISBN: 978-3-319-42007-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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