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.

List of contents

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

Product details

• Assisted by: Albert Bifet (Editor), Albert Bifet et al (Editor), Michaela Blott (Editor), Holger Fröning (Editor), Joao Gama (Editor), Sepide Pashami (Editor), Sepideh Pashami (Editor), Franz Pernkopf (Editor), Moamar Sayed-Mouchawe (Editor), Gregor Schiele (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 10.02.2021
• EAN: 9783030667696
• ISBN: 978-3-0-3066769-6
• No. of pages: 310
• Dimensions: 155 mm x 17 mm x 235 mm
• Illustrations: XVII, 310 p. 84 illus.
• Series: Communications in Computer and Information Science
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT