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International Conference on Advanced Information Systems Engineering

CAiSE 2019: Information Systems Engineering in Responsible Information Systems pp 170–181Cite as

Using Conceptual Modeling to Support Machine Learning

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 350))

Abstract

With the transformation of our society into a “digital world,” machine learning has emerged as an essential approach to extracting useful information from large collections of data. However, challenges remain for using machine learning effectively. We propose that some of these can be overcome using conceptual modeling. We examine a popular cross-industry standard process for data mining, commonly known as CRISP-DM Directions, and show the potential usefulness of conceptual modeling at each stage of this process. The results are illustrated through an application to a management system for drug monitoring. Doing so demonstrates that conceptual modeling can advance machine learning by: (1) supporting the application of machine learning within organizations; (2) improving the usability of machine learning as decision tools; and (3) optimizing the performance of machine learning algorithms. Based on the CRISP-DM framework, we propose six research directions that should be explored to understand how conceptual modeling can support and extend machine learning.

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Author information

Authors and Affiliations

  1. HEC Montreal, Montreal, QC, Canada

    Roman Lukyanenko

  2. Baruch College, CUNY, New York, NY, USA

    Arturo Castellanos

  3. Memorial University of Newfoundland, St. John’s, NL, Canada

    Jeffrey Parsons

  4. William and Mary, Williamsburg, VA, USA

    Monica Chiarini Tremblay

  5. Georgia State University, Altanta, GA, USA

    Veda C. Storey

Authors
  1. Roman Lukyanenko
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  2. Arturo Castellanos
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  3. Jeffrey Parsons
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  4. Monica Chiarini Tremblay
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  5. Veda C. Storey
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Corresponding author

Correspondence to Roman Lukyanenko .

Editor information

Editors and Affiliations

  1. Politecnico di Milano, Milan, Italy

    Cinzia Cappiello

  2. Universiteit Utrecht, Utrecht, The Netherlands

    Marcela Ruiz

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Lukyanenko, R., Castellanos, A., Parsons, J., Chiarini Tremblay, M., Storey, V.C. (2019). Using Conceptual Modeling to Support Machine Learning. In: Cappiello, C., Ruiz, M. (eds) Information Systems Engineering in Responsible Information Systems. CAiSE 2019. Lecture Notes in Business Information Processing, vol 350. Springer, Cham. https://doi.org/10.1007/978-3-030-21297-1_15

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  • DOI: https://doi.org/10.1007/978-3-030-21297-1_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21296-4

  • Online ISBN: 978-3-030-21297-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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