Putting Decision Mining into Context: A Literature Study

Sam Leewis (), Koen Smit () and Martijn Zoet ()
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Sam Leewis: HU University of Applied Sciences Utrecht
Koen Smit: HU University of Applied Sciences Utrecht
Martijn Zoet: Zuyd University of Applied Sciences

A chapter in Digital Business Transformation, 2020, pp 31-46 from Springer

Abstract: Abstract 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.

Keywords: Decision mining; Data mining; Process mining; Business intelligence (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-47355-6_3

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DOI: 10.1007/978-3-030-47355-6_3

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