IoT streams for data-driven predictive maintenance and IoT, edge, and mobile for embedded machine learning: Second International Workshop, IoT Streams 2020 and First International Workshop, ITEM 2020, co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020 : revised selected papers
Stream Learning -- Feature Learning -- Unsupervised Machine Learning -- Hardware -- Methods -- Quantization.
Gespeichert in:
| Körperschaften: | , |
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| Weitere Verfasser: | , , , , , , , |
| Dokumenttyp: | Konferenzschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham
Springer International Publishing
2020.
Cham Imprint: Springer 2020. |
| Ausgabe: | 1st ed. 2020. |
| Schriftenreihe: | Communications in Computer and Information Science
1325 Springer eBook Collection |
| DOI: | 10.1007/978-3-030-66770-2 |
| Schlagworte: | |
| Online-Zugang: | Resolving-System, lizenzpflichtig: https://doi.org/10.1007/978-3-030-66770-2
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| Verfasserangaben: | Joao Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchawe, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott (eds.) |
| Zusammenfassung: | Stream Learning -- Feature Learning -- Unsupervised Machine Learning -- Hardware -- Methods -- Quantization. This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020. Due to the COVID-19 pandemic the workshops were held online. The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics: IoT Streams 2020: Stream Learning; Feature Learning; ITEM 2020: Unsupervised Machine Learning; Hardware; Methods; Quantization. |
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| Beschreibung: | Online Resource |
| ISBN: | 9783030667702 |
| DOI: | 10.1007/978-3-030-66770-2 |