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Detecting Process Concept Drifts from Event Logs · Study

WorkDetecting Process Concept Drifts from Event Logs

Lijie Wen2017

Work2017

Detecting Process Concept Drifts from Event Logs

Lijie Wen · Jianmin Wang

41 citations·0/0 files stored·Lecture notes in computer science

No readable copy stored yet — this record is metadata only.

Business Process Modeling and Analysis Model-Driven Software Engineering Techniques Data Mining Algorithms and Applications

Abstract

No abstract was published for this record.

Citations in this library

Stored only when both papers are in the corpus — 41 citations exist upstream.

References

1998THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT 2004Workflow mining: discovering process models from event logs 2012Process Mining Manifesto 2004Detecting Change in Data Streams 1993Detection of abrupt changes 2005Genetic Process Mining 2003An Algorithm Based on Singular Spectrum Analysis for Change-Point Detection 2010Efficient Consistency Measurement Based on Behavioral Profiles of Process Models

Cited by

2020Time-aware Concept Drift Detection Using the Earth Mover’s Distance 2021A Framework for Explainable Concept Drift Detection in Process Mining 2020CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining 2018A Framework for Online Process Concept Drift Detection from Event Streams

Details

Year2017

Typeother

Published2017-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations41

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

Identifiers

doi10.1007/978-3-319-69462-7_33

openalex_workW2766473140

Links

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