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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Powell, L., Gelich, A., & Ras, Z. W. (2020). The Construction of Action Rules to Raise Artwork Prices. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12117 LNAI, pp. 11–20). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59491-6_2
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