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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
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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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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
Process mining for self-regulated learning assessment in e-learning
Journal of Computing in Higher Education, 2019Content assessment has broadly improved in e-learning scenarios in recent decades. However, the e-Learning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only content, but also students ...
Rebeca Cerezo +3 more
semanticscholar +1 more source
Extraction, correlation, and abstraction of event data for process mining
WIREs Data Mining Knowl. Discov., 2019Process mining provides a rich set of techniques to discover valuable knowledge of business processes based on data that was recorded in different types of information systems.
Kiarash Diba +3 more
semanticscholar +1 more source
2011
More and more information about business processes is recorded by information systems in the form of so-called "event logs". Despite the omnipresence of such data, most organizations diagnose problems based on fiction rather than facts. Process mining is an emerging discipline based on process model-driven approaches and data mining. It not only allows
openaire +3 more sources
More and more information about business processes is recorded by information systems in the form of so-called "event logs". Despite the omnipresence of such data, most organizations diagnose problems based on fiction rather than facts. Process mining is an emerging discipline based on process model-driven approaches and data mining. It not only allows
openaire +3 more sources
Towards Comprehensive Support for Privacy Preservation Cross-Organization Business Process Mining
IEEE Transactions on Services Computing, 2019More and more business requirements are crossing organizational boundaries. There comes the cross-organization business process management, and its modeling is a complicated task.
Cong Liu +5 more
semanticscholar +1 more source
Mining Evolving Network Processes
2013 IEEE 13th International Conference on Data Mining, 2013Processes within real world networks evolve according to the underlying graph structure. A number of examples exists in diverse network genres: botnet communication growth, moving traffic jams [1], information foraging [2] in document networks (WWW and Wikipedia), and spread of viral memes or opinions in social networks.
MONGIOVI', MISAEL +2 more
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Process Mining in der additiven Auftragsabwicklung/Process Mining for additive manufacturing
wt Werkstattstechnik online, 2020Die Fähigkeit der additiven Fertigung in Losgröße 1 zu fertigen, erzeugt eine hohe Komplexität in der Auftragsabwicklung. Dies stellt die datenbasierte Optimierung der Prozessabläufe vor große Herausforderungen. Durch die geringen Stückzahlen, bei einer hohen Variantenanzahl, ist die Prozessaufnahme in der additiven Fertigung mit signifikanten ...
Scherwitz, Philipp +2 more
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