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Data-Driven Exploration of National Health Service Talking Therapies Care Pathways Using Process Mining: Retrospective Cohort Study. [PDF]
JMIR Ment HealthYardley E +3 more
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ACM Transactions on Management Information Systems, 2012
Over the last decade, process mining emerged as a new research field that focuses on the analysis of processes using event data. Classical data mining techniques such as classification, clustering, regression, association rule learning, and sequence/episode mining do not focus on business process models and are often only used to analyze a specific ...
Wil Van Der Aalst
exaly +4 more sources
Over the last decade, process mining emerged as a new research field that focuses on the analysis of processes using event data. Classical data mining techniques such as classification, clustering, regression, association rule learning, and sequence/episode mining do not focus on business process models and are often only used to analyze a specific ...
Wil Van Der Aalst
exaly +4 more sources
Process Automation and Process Mining in Manufacturing
2021Process automation and process mining are (interconnected) key technologies with respect to digital transformation. Hence, expectations are high, in particular, in challenging application domains such as manufacturing that combine systems, machines, sensors, and users. Moreover, manufacturing processes operate at a high level of collaboration, e.g.
Stefanie Rinderle-Ma, Juergen Mangler
openaire +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.
Wil M. P. van der Aalst +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.
Wil M. P. van der Aalst +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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2009
So far we have seen how workflow models can be defined in YAWL and how the YAWL workflow engine allows a model to drive business processes. Once such a model becomes operational, the Engine automatically logs activity, keeping track of task start and completion events, their time of occurrence, the resources involved, and so on (cf. Chap. 9, Sect. 9.7).
Wynn, Moe +4 more
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So far we have seen how workflow models can be defined in YAWL and how the YAWL workflow engine allows a model to drive business processes. Once such a model becomes operational, the Engine automatically logs activity, keeping track of task start and completion events, their time of occurrence, the resources involved, and so on (cf. Chap. 9, Sect. 9.7).
Wynn, Moe +4 more
openaire +2 more sources
Process Mining for Healthcare Process Analytics
2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA), 2016Process mining (PM) as applied in different industrial settings is considered as an effective technique for business process analytics. In healthcare domain, applications of this technique are yet limited but emerging. Process conformance verification, which is applied to measure differences between process model specification and process enactments ...
Tugba Gurgen Erdogan, Ayça Tarhan
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An Algorithm on the Mining of Batch Processing Process
2010 13th IEEE International Conference on Computational Science and Engineering, 2010Batch processing process denotes the process used in the workflow management systems (WfMSs) supporting dynamic batch processing. During the run time of their concurrent process instances, multiple activity cases of the same type may be vertically combined together according to some batch logics and submitted for execution as a whole.
Yiping Wen +2 more
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