Data set containing process execution log data with time sequence information for conference proceeding 2020 paper: Analyzing Process Concept Drifts Based on Sensor Event Streams During Runtime

Data set containing process execution log data with time sequence information for conference proceeding 2020 paper: Analyzing Process Concept Drifts Based on Sensor Event Streams During Runtime

A data set containing 37 instances of a manufacturing process. It describes the production of a part and the measurement of the produced parts dimensions as a time sequence

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Hauptverfasser: Stertz, Florian, Rinderle-Ma, Stefanie, Juergen Mangler
Format: Dataset
Sprache:eng
Schlagworte:
Applied Computer Science
FOS: Economics and business
Time-Series Analysis
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creator Stertz, Florian
Rinderle-Ma, Stefanie
Juergen Mangler
description A data set containing 37 instances of a manufacturing process. It describes the production of a part and the measurement of the produced parts dimensions as a time sequence
doi_str_mv 10.6084/m9.figshare.12472634
format Dataset
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identifier DOI: 10.6084/m9.figshare.12472634
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subjects Applied Computer Science
FOS: Economics and business
Time-Series Analysis
title Data set containing process execution log data with time sequence information for conference proceeding 2020 paper: Analyzing Process Concept Drifts Based on Sensor Event Streams During Runtime
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