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Evaluating Conformance Measures in Process Mining Using Conformance Propositions · Study

WorkEvaluating Conformance Measures in Process Mining Using Conformance Propositions

Anja F. Syring2019

Work2019

Evaluating Conformance Measures in Process Mining Using Conformance Propositions

Anja F. Syring · Niek Tax · Wil M. P. van der Aalst

61 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

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References

2004Workflow mining: discovering process models from event logs 2016Process Mining 2007Conformance checking of processes based on monitoring real behavior 2012Replaying history on process models for conformance checking and performance analysis 2006Process mining with the HeuristicsMiner algorithm 2011Conformance Checking Using Cost-Based Fitness Analysis 2018Conformance Checking 2006Discovering expressive process models by clustering log traces

Cited by

2022The connection between process complexity of event sequences and models discovered by process mining 2022Foundations of Process Discovery 2021Precision and Fitness in Object-Centric Process Mining 2020An Entropic Relevance Measure for Stochastic Conformance Checking in Process Mining 2021Entropic relevance: A mechanism for measuring stochastic process models discovered from event data 2020Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach

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Details

Year2019

Typeother

Published2019-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations61

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-662-60651-3_8

openalex_workW2990109202

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2019Scalable Alignment of Process Models and Event Logs: An Approach Based on Automata and S-Components

2023Process mining meets model learning: Discovering deterministic finite state automata from event logs for business process analysis