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A Hybrid Approach for Process Mining: Using From-to Chart Arranged by Genetic Algorithms · Study

WorkA Hybrid Approach for Process Mining: Using From-to Chart Arranged by Genetic Algorithms

Eren Esgin2010

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Workgreen2010

A Hybrid Approach for Process Mining: Using From-to Chart Arranged by Genetic Algorithms

Eren Esgin · Pinar Senkul · Cem Cimenbicer

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

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Business Process Modeling and Analysis Data Mining Algorithms and Applications Robotic Process Automation Applications

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References

2004Workflow mining: discovering process models from event logs 1991Facility Layout and Location: An Analytical Approach 1998Discovering models of software processes from event-based data 1998Mining process models from workflow logs 2003Rediscovering workflow models from event-based data using little thumb 1998Advances in Database Technology — EDBT'98 2002Process Mining: Discovering Direct Successors in Process Logs 2006Using Process Mining to Analyze and Improve Process Flexibility.

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2011Delta Analysis: A Hybrid Quantitative Approach for Measuring Discrepancies between Business Process Models

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2011Delta Analysis: A Hybrid Quantitative Approach for Measuring Discrepancies between Business Process Modelsother · 8 shared references 2009A Hybrid Approach to Process Mining: Finding Immediate Successors of a Process by Using From-To Chartother · 7 shared references 2007Process Mining Framework for Software Processesother · 5 shared references 2012Towards Improving the Representational Bias of Process Miningother · 5 shared references 2004Using genetic algorithms to mine process models : representation, operators and resultsreport · 5 shared references 2012Distributed Process Discovery and Conformance Checkingother · 5 shared references

Details

Year2010

Typeother

Published2010-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations12

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-642-13769-3_22

openalex_workW1523802721

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