Results 271 to 280 of about 259,067 (305)
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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.
Wil M. P. van der Aalst +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.
Wil M. P. van der Aalst +2 more
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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
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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 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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Behavioral process mining for unstructured processes
Journal of Intelligent Information Systems, 2016Real world applications provide many examples of unstructured processes, where process execution is mainly driven by contingent decisions taken by the actors, with the result that the process is rarely repeated exactly in the same way. In these cases, traditional Process Discovery techniques, aimed at extracting complete process models from event logs,
Claudia Diamantini +2 more
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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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EMISA Forum, 2005
The basic idea of process mining is to extract knowledge from event logs recorded by an information system. Until recently, the information in these event logs was rarely used to analyze the underlying processes. Process mining aims at improving this by providing techniques and tools for discovering process, control, data, organizational, and social ...
Ly, Linh Thao, Reichert, Manfred
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The basic idea of process mining is to extract knowledge from event logs recorded by an information system. Until recently, the information in these event logs was rarely used to analyze the underlying processes. Process mining aims at improving this by providing techniques and tools for discovering process, control, data, organizational, and social ...
Ly, Linh Thao, Reichert, Manfred
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Robotic Datasets for Process Mining
As robotic systems become increasingly integrated into real-world applications, the need to better understand their operations continues to grow. Bridging the gap between process mining and robotics can enhance the transparency, accountability, and efficiency of these systems.Flavio Corradini +4 more
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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 ...
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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 ...
+5 more sources
A Survey on Concept Drift in Process Mining
ACM Computing Surveys, 2022Denise Maria Vecino Sato +1 more
exaly