Process minding: Closing the big data gap

Avigdor Gal; Arik Senderovich

doi:10.1007/978-3-030-58666-9_1

Process minding: Closing the big data gap

Avigdor Gal, Arik Senderovich

Data and Decision Sciences

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

Abstract

The discipline of process mining was inaugurated in the BPM community. It flourished in a world of small(er) data, with roots in the communities of software engineering and databases and applications mainly in organizational and management settings. The introduction of big data, with its volume, velocity, variety, and veracity, and the big strides in data science research and practice pose new challenges to this research field. The paper positions process mining along modern data life cycle, highlighting the challenges and suggesting directions in which data science disciplines (e.g., machine learning) may interact with a renewed process mining agenda.

Original language	English
Title of host publication	Business Process Management - 18th International Conference, BPM 2020, Proceedings
Editors	Dirk Fahland, Chiara Ghidini, Jörg Becker, Marlon Dumas
Pages	3-16
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-030-58666-9_1
State	Published - 2020
Event	18th International Conference on Business Process Management, BPM 2020 - Seville, Spain Duration: 13 Sep 2020 → 18 Sep 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12168 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Conference on Business Process Management, BPM 2020
Country/Territory	Spain
City	Seville
Period	13/09/20 → 18/09/20

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-58666-9_1

Cite this

Gal, A., & Senderovich, A. (2020). Process minding: Closing the big data gap. In D. Fahland, C. Ghidini, J. Becker, & M. Dumas (Eds.), Business Process Management - 18th International Conference, BPM 2020, Proceedings (pp. 3-16). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12168 LNCS). https://doi.org/10.1007/978-3-030-58666-9_1

Gal, Avigdor ; Senderovich, Arik. / Process minding : Closing the big data gap. Business Process Management - 18th International Conference, BPM 2020, Proceedings. editor / Dirk Fahland ; Chiara Ghidini ; Jörg Becker ; Marlon Dumas. 2020. pp. 3-16 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Gal, A & Senderovich, A 2020, Process minding: Closing the big data gap. in D Fahland, C Ghidini, J Becker & M Dumas (eds), Business Process Management - 18th International Conference, BPM 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12168 LNCS, pp. 3-16, 18th International Conference on Business Process Management, BPM 2020, Seville, Spain, 13/09/20. https://doi.org/10.1007/978-3-030-58666-9_1

Process minding: Closing the big data gap. / Gal, Avigdor; Senderovich, Arik.
Business Process Management - 18th International Conference, BPM 2020, Proceedings. ed. / Dirk Fahland; Chiara Ghidini; Jörg Becker; Marlon Dumas. 2020. p. 3-16 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12168 LNCS).

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

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Gal A, Senderovich A. Process minding: Closing the big data gap. In Fahland D, Ghidini C, Becker J, Dumas M, editors, Business Process Management - 18th International Conference, BPM 2020, Proceedings. 2020. p. 3-16. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-58666-9_1

Process minding: Closing the big data gap

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