research-article

Promoting resource discovery in business process variability

Authors:

Laila KjiriAuthors Info & Claims

NISS '19: Proceedings of the 2nd International Conference on Networking, Information Systems & Security

Article No.: 48, Pages 1 - 7

https://doi.org/10.1145/3320326.3320380

Published: 27 March 2019 Publication History

Abstract

Process discovery is one of the main areas of process mining approach, it consists of discovering process model from event logs in terms of different perspectives such as control- flow, data and resource. Analysis results of these models are of great importance in the sense that it can provides a better visibility for the enterprise to improve decision made. Furthermore, with the emergence of business process reuse by managing variability in business processes, process discovery approaches are interested in variability discovery through the concept "configurable process mining". However, the majority of existing discovery approaches focus on control flow perspective as for resources are still neglected, even if the business process is a set of activities ordered in time and ensured by resources witch collaborate to accomplish a specific business goal. In our previous work, we have presented a variability discovery approach for configurable process with focus on control flow perspective. In this paper, we complete our work by proposing a variability discovery approach for resource perspective.

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Cited By

TİFTİK MERDOGAN TTARHAN A(2022)A framework for multi-perspective process mining into a BPMN process modelMathematical Biosciences and Engineering10.3934/mbe.202255019:11(11800-11820)Online publication date: 2022
https://doi.org/10.3934/mbe.2022550
Sikal RSbai HKjiri L(2020)Configurable Process Model: Discovery Approach from Event LogsAdvances in Science, Technology and Engineering Systems Journal10.25046/aj0501245:1(183-190)Online publication date: Jan-2020
https://doi.org/10.25046/aj050124

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cover image ACM Other conferences

NISS '19: Proceedings of the 2nd International Conference on Networking, Information Systems & Security

March 2019

512 pages

ISBN:9781450366458

DOI:10.1145/3320326

Editors:
Badr Abouelmajd
FSR, Mohammed V University, Morocco
,
Mohamed Ben Ahmed
FSTT, Abdelmalek Essaâdi University, Morocco
,
Boudhir Anouar Abdelhakim
FSTT, Abdelmalek Essaâdi University, Morocco
,
Hassan El Ghazi
INPT, Morocco

Copyright © 2019 ACM.

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Published: 27 March 2019

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NISS19: Networking, Information Systems & Security

March 27 - 29, 2019

Rabat, Morocco

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Cited By

TİFTİK MERDOGAN TTARHAN A(2022)A framework for multi-perspective process mining into a BPMN process modelMathematical Biosciences and Engineering10.3934/mbe.202255019:11(11800-11820)Online publication date: 2022
https://doi.org/10.3934/mbe.2022550
Sikal RSbai HKjiri L(2020)Configurable Process Model: Discovery Approach from Event LogsAdvances in Science, Technology and Engineering Systems Journal10.25046/aj0501245:1(183-190)Online publication date: Jan-2020
https://doi.org/10.25046/aj050124

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