Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/32668
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | MARTIN, Niels | - |
dc.contributor.author | Pufahl, Luise | - |
dc.contributor.author | Mannhardt, Felix | - |
dc.date.accessioned | 2020-11-23T14:57:33Z | - |
dc.date.available | 2020-11-23T14:57:33Z | - |
dc.date.issued | 2020 | - |
dc.date.submitted | 2020-11-03T21:23:27Z | - |
dc.identifier.citation | Information systems (Oxford), 95 (Art N° 101642) | - |
dc.identifier.issn | 0306-4379 | - |
dc.identifier.uri | http://hdl.handle.net/1942/32668 | - |
dc.description.abstract | Organizations carry out a variety of business processes in order to serve their clients. Usually supported by information technology and systems, process execution data is logged in an event log. Process mining uses this event log to discover the process' control-flow, its performance, information about the resources, etc. A common assumption is that the cases are executed independently of each other. However, batch work-the collective execution of cases for specific activities-is a common phenomenon in operational processes to save costs or time. Existing research has mainly focused on discovering individual batch tasks. However, beyond this narrow setting, batch processing may consist of the execution of several linked tasks. In this work, we present a novel algorithm which can also detect parallel, sequential and concurrent batching over several connected tasks, i.e., subprocesses. The proposed algorithm is evaluated on synthetic logs generated by a business process simulator, as well as on a real-world log obtained from a hospital's digital whiteboard system. The evaluation shows that batch processing at the subprocess level can be reliably detected. | - |
dc.description.sponsorship | We would like to thank Leon Bein (Master student at HassoPlattner Institute) for extending the simulator Scylla and forsupporting the generation of the syntactic event logs. We wouldalso like to sincerely thank the reviewers for their constructivefeedback during the review process.21 | - |
dc.language.iso | en | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.rights | 2020ElsevierLtd.Allrightsreserved. | - |
dc.subject.other | Business Process | - |
dc.subject.other | Batch Activity | - |
dc.subject.other | Batch Processing | - |
dc.subject.other | Discovery | - |
dc.subject.other | Process Mining | - |
dc.subject.other | Batch Mining | - |
dc.title | Detection of batch activities from event logs | - |
dc.type | Journal Contribution | - |
dc.identifier.volume | 95 | - |
local.bibliographicCitation.jcat | A1 | - |
local.publisher.place | THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 101642 | - |
dc.identifier.doi | 10.1016/j.is.2020.101642 | - |
dc.identifier.isi | WOS:000581494100014 | - |
dc.identifier.eissn | 1873-6076 | - |
local.provider.type | CrossRef | - |
local.uhasselt.uhpub | yes | - |
local.uhasselt.international | yes | - |
item.fullcitation | MARTIN, Niels; Pufahl, Luise & Mannhardt, Felix (2020) Detection of batch activities from event logs. In: Information systems (Oxford), 95 (Art N° 101642). | - |
item.contributor | MARTIN, Niels | - |
item.contributor | Pufahl, Luise | - |
item.contributor | Mannhardt, Felix | - |
item.validation | ecoom 2021 | - |
item.accessRights | Restricted Access | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 0306-4379 | - |
crisitem.journal.eissn | 1873-6076 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
MartinNiels_2021.pdf Restricted Access | Published version | 2.41 MB | Adobe PDF | View/Open Request a copy |
WEB OF SCIENCETM
Citations
17
checked on Sep 20, 2024
Page view(s)
52
checked on Sep 6, 2022
Download(s)
4
checked on Sep 6, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.