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

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.

Sommario

Stream Learning.- Feature Learning.- Unsupervised Machine Learning.- Hardware.- Methods.- Quantization.

Dettagli sul prodotto

• Con la collaborazione di: Albert Bifet (Editore), Albert Bifet et al (Editore), Michaela Blott (Editore), Holger Fröning (Editore), Joao Gama (Editore), Sepide Pashami (Editore), Sepideh Pashami (Editore), Franz Pernkopf (Editore), Moamar Sayed-Mouchawe (Editore), Gregor Schiele (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 10.02.2021
• EAN: 9783030667696
• ISBN: 978-3-0-3066769-6
• Pagine: 310
• Dimensioni: 155 mm x 17 mm x 235 mm
• Illustrazioni: XVII, 310 p. 84 illus.
• Serie: Communications in Computer and Information Science
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica