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Business Process Deviance Mining

2018
Definition Business process deviance mining refers to the problem of (automatically) detecting and explaining deviant executions of a business process based on the historical data stored in a given Business Process Event Log (called hereinafter event log for the sake of conciseness).
Francesco Folino, Luigi Pontieri
openaire   +2 more sources

Process Mining: Discovering Direct Successors in Process Logs

2002
Workflow management technology requires the existence of explicit process models, i.e. a completely specified workflow design needs to be developed in order to enact a given workflow process. Such a workflow design is time consuming and often subjective and incomplete.
Maruster, L.   +3 more
openaire   +2 more sources

Process Mining in Healthcare

2015
What are the possibilities for process mining in hospitals? In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model,
Mans, R.S.   +2 more
openaire   +2 more sources

Multidimensional Process Mining Using Process Cubes

2015
Process mining techniques enable the analysis of processes using event data. For structured processes without too many variations, it is possible to show a relative simple model and project performance and conformance information on it. However, if there are multiple classes of cases exhibiting markedly different behaviors, then the overall process ...
Bolt, A., Aalst, van der, W.M.P.
openaire   +1 more source

Process mining

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 ...
Aalst, van der, W.M.P.   +1 more
openaire   +1 more source

Initial Insights into Exploratory Process Mining Practices

International Conference on Business Process Management, 2021
Francesca Zerbato, P. Soffer, B. Weber
semanticscholar   +1 more source

Process Mining on Blockchain Data: A Case Study of Augur

International Conference on Business Process Management, 2021
Richard Hobeck   +4 more
semanticscholar   +1 more source

Process Automation and Process Mining in Manufacturing

International Conference on Business Process Management, 2021
S. Rinderle-Ma, Juergen Mangler
semanticscholar   +1 more source

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