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Business Process Management
Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics
other
Author(s):
Christian W. Günther
,
Wil M. P. van der Aalst
Publication date
(Print):
2007
Publisher:
Springer Berlin Heidelberg
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12
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Workflow mining: discovering process models from event logs
W. van der Aalst
,
T. Weijters
,
L. Maruster
(2004)
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Partitioning Sparse Matrices with Eigenvectors of Graphs
Alex Pothen
,
Horst D Simon
,
Kang-Pu Liou
(1990)
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Workflow mining: A survey of issues and approaches
L. Maruster
,
W.M.P. van der Aalst
,
B.F. van Dongen
…
(2003)
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Book Chapter
Publication date (Print):
2007
Pages
: 328-343
DOI:
10.1007/978-3-540-75183-0_24
SO-VID:
5ec395f3-d3ff-4bd2-864e-b9a1f42b86be
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Book chapters
pp. 125
Workflow Management Systems + Swarm Intelligence = Dynamic Task Assignment for Emergency Management Applications
pp. 271
Behavioral Constraints for Services
pp. 48
What Makes Process Models Understandable?
pp. 88
View-Based Process Visualization
pp. 149
Modeling Control Objectives for Business Process Compliance
pp. 165
Generation of Business Process Models for Object Life Cycle Compliance
pp. 182
Highly Dynamic Adaptation in Process Management Systems Through Execution Monitoring
pp. 288
Towards Formal Analysis of Artifact-Centric Business Process Models
pp. 328
Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics
pp. 360
Approaching Process Mining with Sequence Clustering: Experiments and Findings
pp. 375
Process Mining Based on Regions of Languages
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