Results 271 to 280 of about 21,359,437 (311)
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Springer Berlin Heidelberg, 2016
This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely ...
W. V. D. Aalst
semanticscholar +5 more sources
This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely ...
W. V. D. Aalst
semanticscholar +5 more sources
The Digital Journey of Banking and Insurance, Volume II, 2021
Limao Zhang +3 more
semanticscholar +4 more sources
Limao Zhang +3 more
semanticscholar +4 more sources
Process mining applications in the healthcare domain: A comprehensive review
WIREs Data Mining Knowl. Discov., 2021Process mining (PM) is a well‐known research area that includes techniques, methodologies, and tools for analyzing processes in a variety of application domains.
A. Guzzo +2 more
semanticscholar +1 more source
2005
The topic of process mining has attracted the attention of both researchers and tool vendors in the Business Process Management (BPM) space. The goal of process mining is to discover process models from event logs, i.e., events logged by some information system are used to extract information about activities and their causal relations.
Aalst, van der, W.M.P. +2 more
openaire +2 more sources
The topic of process mining has attracted the attention of both researchers and tool vendors in the Business Process Management (BPM) space. The goal of process mining is to discover process models from event logs, i.e., events logged by some information system are used to extract information about activities and their causal relations.
Aalst, van der, W.M.P. +2 more
openaire +2 more sources
Communications of the ACM, 2009
Using real event data to X-ray business processes helps ensure conformance between design and reality.
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Using real event data to X-ray business processes helps ensure conformance between design and reality.
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Process mining techniques and applications - A systematic mapping study
Expert systems with applications, 2019Process mining is a growing and promising study area focused on understanding processes and to help capture the more significant findings during real execution rather than, those methods that, only observed idealized process model.
C. Garcia +7 more
semanticscholar +1 more source
Adoption, use and management of process mining in practice
Business Process Management Journal, 2020PurposeThis study explores how process managers perceive the adoption, use and management of process mining in practice. While research in process mining predominantly focuses on the technical aspects, our work highlights organizational and managerial ...
Thomas Grisold +3 more
semanticscholar +1 more source