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CJM-ab: Abstracting Customer Journey Maps Using Process Mining · Study

WorkCJM-ab: Abstracting Customer Journey Maps Using Process Mining

Gaël Bernard2018

OA

Workgreen2018

CJM-ab: Abstracting Customer Journey Maps Using Process Mining

Gaël Bernard · Periklis Andritsos

32 citations·0/0 files stored·Lecture notes in business information processing

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

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References

2016Understanding Customer Experience Throughout the Customer Journey 2016Process Mining 2016Process Mining: Data Science in Action 2013Discovering Block-Structured Process Models from Event Logs - A Constructive Approach 2014Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour 2014Quality Dimensions in Process Discovery: The Importance of Fitness, Precision, Generalization and Simplicity 2014Discovering Block-Structured Process Models from Incomplete Event Logs 2008The Refined Process Structure Tree

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2024A hybrid machine learning with process analytics for predicting customer experience in online insurance services industry 2019Speaking with Actions - Learning Customer Journey Behavior

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2019Information-preserving abstractions of event data in process miningarticle · 7 shared references 2020Robust Drift Characterization from Event Streams of Business Processesarticle · 6 shared references 2017Event stream-based process discovery using abstract representationsarticle · 5 shared references 2018Indulpet Miner: Combining Discovery Algorithmsother · 5 shared references 2018Split miner: automated discovery of accurate and simple business process models from event logsarticle · 4 shared references 2018Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logsother · 4 shared references

Details

Year2018

Typeother

Published2018-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations32

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-319-92901-9_5

openalex_workW2807303045

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