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NICE: The Native IoT-Centric Event Log Model for Process Mining · Study

WorkNICE: The Native IoT-Centric Event Log Model for Process Mining

Yannis Bertrand2024

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Workgreen2024

NICE: The Native IoT-Centric Event Log Model for Process Mining

Yannis Bertrand · Silvestro V. Veneruso · Francesco Leotta · Massimo Mecella · Estefanía Serral

12 citations·0/0 files stored·Lecture notes in business information processing

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Business Process Modeling and Analysis Digital Transformation in Industry Robotic Process Automation Applications

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References

2004Design Science in Information Systems Research1 2020The Internet of Things Meets Business Process Management: A Manifesto 2020Event abstraction in process mining: literature review and taxonomy 2023The biggest business process management problems to solve before we die 2021OCEL: A Standard for Object-Centric Event Logs 2017From event streams to process models and back: Challenges and opportunities 2020Towards IoT-driven Process Event Log Generation for Conformance Checking in Smart Factories 2021Process Model Discovery from Sensor Event Data

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2025Process mining on sensor data: a review of related worksarticle · 7 shared references 2023Assessing the Suitability of Traditional Event Log Standards for IoT-Enhanced Event Logsother · 7 shared references 2023An Interactive Method for Detection of Process Activity Executions from IoT Dataarticle · 6 shared references 2023A survey on the application of process discovery techniques to smart spaces dataarticle · 5 shared references 2024RBPMN: the value of roles for business process modelingarticle · 5 shared references 2022A Bridging Model for Process Mining and IoTother · 4 shared references

Details

Year2024

Typeother

Published2024-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations12

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-031-56107-8_3

openalex_workW4394773060

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