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AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion · Study

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ArticleAI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion

Francesco Folino2021

Article2021

AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion

Francesco Folino · Luigi Pontieri

17 citations·0/0 files stored·Journal on Data Semantics

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

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References

2004Procedures for Performing Systematic Reviews 1996Beyond Accuracy: What Data Quality Means to Data Consumers 2018Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories 2011Process Mining 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes 2012Process Mining Manifesto 2005The ProM Framework: A New Era in Process Mining Tool Support 2007Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics

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Year2021

Typearticle

Published2021-03-09

VenueJournal on Data Semantics

ISSN-L1861-2032

Languageen

Citations17

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/s13740-021-00121-2

openalex_workW3135743376

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