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Clustering Traces Using Sequence Alignment · Study

WorkClustering Traces Using Sequence Alignment

Jöerg Evermann2016

Work2016

Clustering Traces Using Sequence Alignment

Jöerg Evermann · Tom Thaler · Peter Fettke

39 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 Time Series Analysis and Forecasting

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References

2011Process Mining 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes 2007Conformance checking of processes based on monitoring real behavior 2005The ProM Framework: A New Era in Process Mining Tool Support 2012Replaying history on process models for conformance checking and performance analysis 2011Flexible Heuristics Miner (FHM)2009Trace Clustering in Process Mining 2009Context Aware Trace Clustering: Towards Improving Process Mining Results

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2016Explaining clusterings of process instances 2024Explainable and Effective Process Remaining Time Prediction Using Feature-Informed Cascade Prediction Model 2017The state-of-the-art of business process mining challenges 2020On the composition of the long tail of business processes: Implications from a process mining study 2022Complex Process Modeling in Process Mining: A Systematic Review

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2015The Use of Process Mining in Business Process Simulation Model Constructionarticle · 9 shared references 2015Discovering deviating cases and process variants using trace clusteringother · 9 shared references 2014Controlled automated discovery of collections of business process modelsarticle · 8 shared references 2021Event Log Preprocessing for Process Mining: A Reviewarticle · 7 shared references 2013Slice, Mine and Dice: Complexity-Aware Automated Discovery of Business Process Modelsother · 7 shared references 2014An alignment-based framework to check the conformance of declarative process models and to preprocess event-log dataarticle · 6 shared references

Details

Year2016

Typeother

Published2016-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations39

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-319-42887-1_15

openalex_workW2492054532

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