Putting Decision Mining into Context

Auteurs Sam Leewis , Koen Smit , Martijn Zoet
Gepubliceerd in R. Agrifoglio et al. (eds.), Digital Business Transformation, Lecture Notes in Information Systems and Organisation 38
Publicatiedatum 17 september 2020
Lectoraat Betekenisvol Digitaal Innoveren
Soort publicatie Artikel

Samenvatting

The value of a decision can be increased through analyzing the decision logic, and the outcomes. The more often a decision is taken, the more data becomes available about the results. More available data results into smarter decisions and increases the value the decision has for an organization. The research field addressing this problem is Decision mining. By conducting a literature study on the current state of Decision mining, we aim to discover the research gaps and where Decision mining can be improved upon. Our findings show that the concepts used in the Decision mining field and related fields are ambiguous and show overlap. Future research directions are discovered to increase the quality and maturity of Decision mining research. This could be achieved by focusing more on Decision mining research, a change is needed from a business process Decision mining approach to a decision focused approach.

Aan deze publicatie werkten mee

  • Sam Leewis
    • Onderzoeker
    • Lectoraten: Betekenisvol Digitaal Innoveren
  • Koen Smit | onderzoeker | lectoraat Betekenisvol Digitaal Innoveren
    Koen Smit
    • Onderzoeker
    • Lectoraten: Betekenisvol Digitaal Innoveren

Taal Engels
Gepubliceerd in R. Agrifoglio et al. (eds.), Digital Business Transformation, Lecture Notes in Information Systems and Organisation 38
ISBN/ISSN URN:ISBN:978-3-030-47355-6
Trefwoorden Decision mining, data mining, Process mining, Business intelligence 
Digital Object Identifier https://doi.org/10.1007/978-3-030-47355-6_3
Paginabereik 31-46

Sam Leewis

Sam Leewis

  • Onderzoeker
  • Lectoraat: Betekenisvol Digitaal Innoveren