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Discovering Branching Conditions from Business Process Execution Logs · Study

WorkDiscovering Branching Conditions from Business Process Execution Logs

Massimiliano de Leoni2013

Work2013

Discovering Branching Conditions from Business Process Execution Logs

Massimiliano de Leoni · Marlon Dumas · Luciano García‐Bañuelos

57 citations·0/0 files stored·Lecture notes in computer science

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Business Process Modeling and Analysis Software Testing and Debugging Techniques Data Mining Algorithms and Applications

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 57 citations exist upstream.

References

2011Process Mining 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes 2006Decision Mining in ProM 2013Data-aware process mining

Cited by

2024Machine learning in business process management: A systematic literature review 2016Discovering Decision Models from Event Logs 2016Deriving Decision Models from Process Models by Enhanced Decision Mining 2017Towards a Holistic Discovery of Decisions in Process-Aware Information Systems 2018Business Process Management Workshops 2019Holistic discovery of decision models from process execution data 2019Automated discovery of declarative process models with correlated data conditions 2013Wanna improve process mining results? : it’s high time we consider data quality issues seriously

Details

Year2013

Typeother

Published2013-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations57

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

Identifiers

doi10.1007/978-3-642-37057-1_9

openalex_workW177979796

Links

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