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Fast and Accurate Business Process Drift Detection · Study

WorkFast and Accurate Business Process Drift Detection

Abderrahmane Maaradji2015

Work2015

Fast and Accurate Business Process Drift Detection

Abderrahmane Maaradji · Marlon Dumas · Marcello La Rosa · Alireza Ostovar

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

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Business Process Modeling and Analysis Software System Performance and Reliability Robotic Process Automation Applications

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References

2004Workflow mining: discovering process models from event logs 2018Fundamentals of Business Process Management 2011Process Mining 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes 2014Scientific method: Statistical errors 2013Fundamentals of Business Process Management 1999Technical analysis of the financial markets: a comprehensive guide to trading methods and applications 2008Change patterns and change support features – Enhancing flexibility in process-aware information systems

Cited by

2017Detecting Sudden and Gradual Drifts in Business Processes from Execution Traces 2021Theorizing Process Dynamics with Directed Graphs: A Diachronic Analysis of Digital Trace Data 2016Detecting Drift from Event Streams of Unpredictable Business Processes 2017Interactive and Incremental Business Process Model Repair 2017Detecting Concept Drift in Processes using Graph Metrics on Process Graphs 2020

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2017Detecting sudden and gradual drifts in business processes from execution tracesarticle · 9 shared references 2017Detecting Sudden and Gradual Drifts in Business Processes from Execution Tracesarticle · 8 shared references 2015Extracting Event Data from Databases to Unleash Process Miningchapter · 6 shared references 2014Business Process Simulation Survival Guidechapter · 5 shared references 2015Processes Meet Big Data: Connecting Data Science with Process Scienceeditorial · 5 shared references 2015Discovery of Frequent Episodes in Event Logsother · 5 shared references

Details

Year2015

Typeother

Published2015-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations88

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-319-23063-4_27

openalex_workW281005445

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Evaluation Goals for Online Process Mining: A Concept Drift Perspective

2020Triggering Proactive Business Process Adaptations via Online Reinforcement Learning

2020Robust Drift Characterization from Event Streams of Business Processes