IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning

Michaela Blott, Moamar Sayed-Mouchawe, Holger Frandouml;ning, Gregor Schiele, Joao Gama, Franz Pernkopf, Albert Bifet, Sepideh Pashami

ISBN 10: 3030667693 / ISBN 13: 9783030667696

Published by Springer Nature Switzerland AG, CH, 2021

About this Item

Seller Inventory # LU-9783030667696

Bibliographic Details

• Title: IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning
• Publisher: Springer Nature Switzerland AG, CH
• Publication Date: 2021
• Language: English
• ISBN 10: 3030667693
• ISBN 13: 9783030667696
• Binding: Paperback
• Edition: 1st ed. 2020.
• Condition: New
• Dimensions: 15.49W x 1.88H x 23.5D centimeters 15.49 centimeters width by 1.88 centimeters height by 23.5 centimeters depth
• Weight: 500 grams

About this title

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.