A framework to evaluate and compare decision-mining techniques

Toon Jouck; Massimiliano de Leoni; Benoît Depaire

doi:10.1007/978-3-030-11641-5_38

A framework to evaluate and compare decision-mining techniques

Toon Jouck, Massimiliano de Leoni, Benoît Depaire

Process Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

During the last decade several decision mining techniques have been developed to discover the decision perspective of a process from an event log. The increasing number of decision mining techniques raises the importance of evaluating the quality of the discovered decision models and/or decision logic. Currently, the evaluations are limited because of the small amount of available event logs with decision information. To alleviate this limitation, this paper introduces the ‘DataExtend’ technique that allows evaluating and comparing decision-mining techniques with each other, using a sufficient number of event logs and process models to generate evaluation results that are statistically significant. This paper also reports on an initial evaluation using ‘DataExtend’ that involves two techniques to discover decisions, whose results illustrate that the approach can serve the purpose.

Original language	English
Title of host publication	Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers
Editors	Florian Daniel, Quan Z. Sheng, Hamid Motahari
Place of Publication	Cham
Publisher	Springer
Pages	482-493
Number of pages	12
ISBN (Electronic)	978-3-030-11641-5
ISBN (Print)	978-3-030-11640-8
DOIs	https://doi.org/10.1007/978-3-030-11641-5_38
Publication status	Published - 29 Jan 2019
Event	16th International Conference on Business Process Management (BPM 2018) - Sydney, Australia Duration: 9 Sep 2018 → 14 Sep 2018 Conference number: 16 http://ceur-ws.org/Vol-2196/

Publication series

Name	Lecture Notes in Business Information Processing
Volume	342
ISSN (Print)	1865-1348

Conference

Conference	16th International Conference on Business Process Management (BPM 2018)
Abbreviated title	BPM 2018
Country/Territory	Australia
City	Sydney
Period	9/09/18 → 14/09/18
Other	Dissertation Award, Demonstration, and Industrial Track at BPM
Internet address	http://ceur-ws.org/Vol-2196/

Keywords

Decision mining
Evaluation
Log generation

Access to Document

10.1007/978-3-030-11641-5_38

Cite this

Jouck, T., de Leoni, M., & Depaire, B. (2019). A framework to evaluate and compare decision-mining techniques. In F. Daniel, Q. Z. Sheng, & H. Motahari (Eds.), Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers (pp. 482-493). (Lecture Notes in Business Information Processing; Vol. 342). Springer. https://doi.org/10.1007/978-3-030-11641-5_38

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abstract = "During the last decade several decision mining techniques have been developed to discover the decision perspective of a process from an event log. The increasing number of decision mining techniques raises the importance of evaluating the quality of the discovered decision models and/or decision logic. Currently, the evaluations are limited because of the small amount of available event logs with decision information. To alleviate this limitation, this paper introduces the {\textquoteleft}DataExtend{\textquoteright} technique that allows evaluating and comparing decision-mining techniques with each other, using a sufficient number of event logs and process models to generate evaluation results that are statistically significant. This paper also reports on an initial evaluation using {\textquoteleft}DataExtend{\textquoteright} that involves two techniques to discover decisions, whose results illustrate that the approach can serve the purpose.",

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Jouck, T, de Leoni, M & Depaire, B 2019, A framework to evaluate and compare decision-mining techniques. in F Daniel, QZ Sheng & H Motahari (eds), Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. Lecture Notes in Business Information Processing, vol. 342, Springer, Cham, pp. 482-493, 16th International Conference on Business Process Management (BPM 2018), Sydney, Australia, 9/09/18. https://doi.org/10.1007/978-3-030-11641-5_38

A framework to evaluate and compare decision-mining techniques. / Jouck, Toon; de Leoni, Massimiliano; Depaire, Benoît.

Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. ed. / Florian Daniel; Quan Z. Sheng; Hamid Motahari. Cham : Springer, 2019. p. 482-493 (Lecture Notes in Business Information Processing; Vol. 342).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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A framework to evaluate and compare decision-mining techniques

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Keywords

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