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Book synopsis

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.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Full title: IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning
• Author: Sepideh Pashami, Albert Bifet, Michaela Blott, Holger Fröning, Franz Pernkopf, Gregor Schiele, Moamar Sayed-Mouchawe
• Language: English
• Binding: Paperback
• Number of pages: 310
• EAN: 9783030667696
• ISBN: 3030667693
• ID: 33553013
• Publisher: Springer Nature Switzerland AG
• Weight: 504 g
• Dimensions: 235 × 155 × 18 mm
• Date of publishing: 10. January 2021

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