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Data Quality in Process Mining · Study

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ChapterData Quality in Process Mining

Niels Martin2020

Chapter2020

Data Quality in Process Mining

24 citations·0/0 files stored·Health informatics

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Business Process Modeling and Analysis Medical Coding and Health Information Data Quality and Management

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References

1996Beyond Accuracy: What Data Quality Means to Data Consumers 2016Process Mining 2000Data Cleaning: Problems and Current Approaches.2012Process Mining Manifesto 2011Business process analysis in healthcare environments: A methodology based on process mining 2011Simulation Modeling and Analysis with ARENA 2015PM$$^2$$: A Process Mining Project Methodology 2003A Taxonomy of Dirty Data

Cited by

2023Cortado: A dedicated process mining tool for interactive process discovery 2022Process mining: software comparison, trends, and challenges 2021DaQAPO: Supporting flexible and fine-grained event log quality assessment 2024Process mining in mHealth data analysis 2024Demystifying data governance for process mining: Insights from a Delphi study 2022Using Process Mining in Healthcare

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2022Quality-Informed Process Mining: A Case for Standardised Data Quality Annotationsarticle · 14 shared references 2021DaQAPO: Supporting flexible and fine-grained event log quality assessmentarticle · 14 shared references 2019Interactive Data Cleaning for Process Mining: A Case Study of an Outpatient Clinic’s Appointment Systemother · 12 shared references 2025Getting the Data in Shape for Your Process Mining Analysis: An In-Depth Analysis of the Pre-Analysis Stagearticle · 11 shared references 2018Quality of input data in emergency department simulations: Framework and assessment techniquesarticle · 9 shared references 2019Using Indoor Location System Data to Enhance the Quality of Healthcare Event Logs: Opportunities and Challengesother · 9 shared references

Details

Year2020

Typechapter

Published2020-10-28

VenueHealth informatics

ISSN-L2197-3733

Languageen

Citations24

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-030-53993-1_5

openalex_workW3094940588

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