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The Construction of Action Rules to Raise Artwork Prices

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Foundations of Intelligent Systems (ISMIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12117))

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Abstract

This work explores the development of action rules for changing the prices of works of contemporary fine art. It focuses on the generation of action rules using LISp-Miner related to artwork profiles and artist descriptions. Additionally, this work explores the use of the dominant color of an artwork as a feature in the generation of action rules for adjusting its prices.

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Acknowledgement

This research is supported by the National Science Foundation under grant IIP 1749105. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Author information

Authors and Affiliations

  1. College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA

    Laurel Powell & Zbigniew W. Ras

  2. College of Arts + Architecture, University of North Carolina at Charlotte, Charlotte, USA

    Anna Gelich

  3. Polish-Japanese Academy of Information Technology, Warsaw, Poland

    Anna Gelich & Zbigniew W. Ras

Authors
  1. Laurel Powell
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  2. Anna Gelich
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  3. Zbigniew W. Ras
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Corresponding author

Correspondence to Laurel Powell .

Editor information

Editors and Affiliations

  1. Graz University of Technology, Graz, Austria

    Denis Helic

  2. University of Klagenfurt, Klagenfurt, Austria

    Gerhard Leitner

  3. Graz University of Technology, Graz, Austria

    Martin Stettinger

  4. Graz University of Technology, Graz, Austria

    Alexander Felfernig

  5. University of North Carolina at Charlotte, Charlotte, NC, USA

    Zbigniew W. Raś

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Powell, L., Gelich, A., Ras, Z.W. (2020). The Construction of Action Rules to Raise Artwork Prices. In: Helic, D., Leitner, G., Stettinger, M., Felfernig, A., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2020. Lecture Notes in Computer Science(), vol 12117. Springer, Cham. https://doi.org/10.1007/978-3-030-59491-6_2

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  • DOI: https://doi.org/10.1007/978-3-030-59491-6_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59490-9

  • Online ISBN: 978-3-030-59491-6

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