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http://hdl.handle.net/1942/28070
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DC Field | Value | Language |
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dc.contributor.author | MARTIN, Niels | - |
dc.contributor.author | Solti, Andreas | - |
dc.contributor.author | Mendling, Jan | - |
dc.contributor.author | DEPAIRE, Benoit | - |
dc.contributor.author | CARIS, An | - |
dc.date.accessioned | 2019-04-25T13:16:14Z | - |
dc.date.available | 2019-04-25T13:16:14Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | IEEE transactions on services computing, 14(6), p. 1908-1919. | - |
dc.identifier.issn | 1939-1374 | - |
dc.identifier.uri | http://hdl.handle.net/1942/28070 | - |
dc.description.abstract | Batch processing refers to an organization of work in which cases are synchronized such that they can be processed as a group. Prior research has studied batch processing mainly from a deductive angle, trying to identify optimal rules for composing batches. As a consequence, we lack methodological support to investigate according to which rules human resources build batches in work settings where batching rules are not strictly enforced. In this paper, we address this research gap by developing a technique to inductively mine batch activation rules from process execution data. The obtained batch activation rules can be used for various purposes, including to explicate the real-life batching behavior of human resources; to determine the compliance between the prescribed and actual batching behavior; or to investigate the influence of alternative batching behavior on service levels. The evaluation of our technique using both synthetic and real-world data demonstrates its effectiveness. With this work we complement prescriptive research on batch processing with a descriptive technique that is empirically grounded in process execution data. | - |
dc.language.iso | en | - |
dc.publisher | IEEE COMPUTER SOC | - |
dc.rights | 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. | - |
dc.subject.other | Batch processing | - |
dc.subject.other | batch activation rules | - |
dc.subject.other | batching logic | - |
dc.subject.other | event log | - |
dc.subject.other | process mining | - |
dc.title | Mining batch activation rules from event logs | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 1919 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 1908 | - |
dc.identifier.volume | 14 | - |
local.format.pages | 12 | - |
local.bibliographicCitation.jcat | A1 | - |
local.publisher.place | 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1109/TSC.2019.2912163 | - |
dc.identifier.isi | 000728144600019 | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/8697128 | - |
local.provider.type | Web of Science | - |
local.uhasselt.international | yes | - |
item.validation | ecoom 2022 | - |
item.fulltext | With Fulltext | - |
item.accessRights | Restricted Access | - |
item.fullcitation | MARTIN, Niels; Solti, Andreas; Mendling, Jan; DEPAIRE, Benoit & CARIS, An (2021) Mining batch activation rules from event logs. In: IEEE transactions on services computing, 14(6), p. 1908-1919.. | - |
item.contributor | MARTIN, Niels | - |
item.contributor | Solti, Andreas | - |
item.contributor | Mendling, Jan | - |
item.contributor | DEPAIRE, Benoit | - |
item.contributor | CARIS, An | - |
crisitem.journal.issn | 1939-1374 | - |
crisitem.journal.eissn | 1939-1374 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Martin et al. - 2019 - Mining batch activation rules from event logs.pdf Restricted Access | Peer-reviewed author version | 1.96 MB | Adobe PDF | View/Open Request a copy |
Mining_Batch_Activation_Rules_from_Event_Logs.pdf Restricted Access | Published version | 826.78 kB | Adobe PDF | View/Open Request a copy |
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