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Discovering Workflow Changes with Time-Based Trace Clustering · Study

WorkDiscovering Workflow Changes with Time-Based Trace Clustering

Rafael Accorsi2012

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Workgreen2012

Discovering Workflow Changes with Time-Based Trace Clustering

36 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

2011Process Mining 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes 2005The ProM Framework: A New Era in Process Mining Tool Support 2008Business Process Management Workshops 2009Trace Clustering in Process Mining 2006Discovering expressive process models by clustering log traces 2011Handling Concept Drift in Process Mining 2004Multi-phase Process Mining: Building Instance Graphs

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2017Characterizing Drift from Event Streams of Business Processes 2025Machine learning-based detection of concept drift in business processes 2023An Experimental Evaluation of Process Concept Drift Detection 2020LCDD: Detecting Business Process Drifts Based on Local Completeness

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2013Wanna improve process mining results?other · 6 shared references 2012Retrieval and clustering for supporting business process adjustment and analysisarticle · 6 shared references 2016Clustering Traces Using Sequence Alignmentother · 6 shared references 2021Event Log Preprocessing for Process Mining: A Reviewarticle · 5 shared references 2015The Use of Process Mining in Business Process Simulation Model Constructionarticle · 5 shared references 2009Exploiting Inductive Logic Programming Techniques for Declarative Process Miningother · 5 shared references

Details

Year2012

Typeother

Published2012-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations36

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-642-34044-4_9

openalex_workW2117024474

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