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Pohl, Matthias und Haertel, Christian und Staegemann, Daniel und Turowski, Klaus (2025) Categorization of Data Analytics Projects in Smart Manufacturing. In: IEEE International Conference on Big Data, BigData 2024, Seiten 3153-3157. IEEE. 2024 IEEE International Conference on Big Data (Big Data), 2024-12-15 - 2024-12-18, Washington D.C., USA. doi: 10.1109/BigData62323.2024.10825954. ISBN 979-835036248-0.
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Kurzfassung
The emergence of the Internet of Things and Industry 4.0 has transformed production processes, with data analytics and AI playing key roles. Smart Manufacturing projects often appear ambiguous due to interconnected terms. Data analytics is foundational, involving specific goals, evaluation of current infrastructure, and small-scale pilot projects. Having a structured map tailored to Smart Manufacturing is invaluable for identifying an optimal starting point for data analytics projects. The primary objective is to provide a comprehensive overview of data analytics in the context of Smart Manufacturing and to answer the research question regarding identified categories and data analytics projects.
| elib-URL des Eintrags: | https://elib.dlr.de/211459/ | ||||||||||||||||||||
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| Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
| Titel: | Categorization of Data Analytics Projects in Smart Manufacturing | ||||||||||||||||||||
| Autoren: |
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| Datum: | 16 Januar 2025 | ||||||||||||||||||||
| Erschienen in: | IEEE International Conference on Big Data, BigData 2024 | ||||||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||||||
| Open Access: | Nein | ||||||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||||||
| In SCOPUS: | Ja | ||||||||||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||||||||||
| DOI: | 10.1109/BigData62323.2024.10825954 | ||||||||||||||||||||
| Seitenbereich: | Seiten 3153-3157 | ||||||||||||||||||||
| Verlag: | IEEE | ||||||||||||||||||||
| ISBN: | 979-835036248-0 | ||||||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||||||
| Stichwörter: | Smart Manufacturing, data analytics, projects, predictive maintenance, framework | ||||||||||||||||||||
| Veranstaltungstitel: | 2024 IEEE International Conference on Big Data (Big Data) | ||||||||||||||||||||
| Veranstaltungsort: | Washington D.C., USA | ||||||||||||||||||||
| Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
| Veranstaltungsbeginn: | 15 Dezember 2024 | ||||||||||||||||||||
| Veranstaltungsende: | 18 Dezember 2024 | ||||||||||||||||||||
| Veranstalter : | IEEE | ||||||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
| HGF - Programm: | Raumfahrt | ||||||||||||||||||||
| HGF - Programmthema: | keine Zuordnung | ||||||||||||||||||||
| DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||
| DLR - Forschungsgebiet: | R - keine Zuordnung | ||||||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | R - keine Zuordnung | ||||||||||||||||||||
| Standort: | Jena | ||||||||||||||||||||
| Institute & Einrichtungen: | Institut für Datenwissenschaften Institut für Datenwissenschaften > Datenmanagement und -aufbereitung | ||||||||||||||||||||
| Hinterlegt von: | Pohl, Matthias | ||||||||||||||||||||
| Hinterlegt am: | 06 Jan 2025 11:26 | ||||||||||||||||||||
| Letzte Änderung: | 26 Feb 2025 11:29 |
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