Data Mining and Machine Learning in Computational Creativity

Hannu Toivonen, Oskar Gross

Research output: Contribution to journalReview Articlepeer-review


Creative machines are an old idea, but only recently has computational creativity established itself as a research field with its own identity and research agenda. The goal of computational creativity research is to model, simulate or enhance creativity using computational methods. Data mining and machine learning can be used in a number of ways to help computers learn how to be creative, such as learning to generate new artefacts or to evaluate various qualities of newly generated arfefacts. In this review paper we give an overview of research in computational creativity with a focus on the roles that data mining and machine learning have had and could have in creative systems.
Original languageEnglish
JournalWiley interdisciplinary reviews. Data mining and knowledge discovery
Issue number6
Pages (from-to)265-275
Number of pages11
Publication statusPublished - 2015
MoE publication typeA2 Review article in a scientific journal

Fields of Science

  • 113 Computer and information sciences
  • Computational Creativity
  • Machine Learning
  • Data Mining
  • Review

Cite this