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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 (Communications in Computer and Information Science)

By: Albert Bifet (Edited by) , Franz Pernkopf (Edited by) , Gregor Schiele (Edited by) , Holger Froning (Edited by) , Joao Gama (Edited by) , Michaela Blott (Edited by) , Moamar Sayed-Mouchawe (Edited by) , Sepideh Pashami (Edited by)

Extended Catalogue

Ksh 17,100.00

Format: Paperback or Softback

ISBN-10: 3030667693

ISBN-13: 9783030667696

Collection / Series: Communications in Computer and Information Science

Collection Type: Publisher collection

Edition statement: 1st ed. 2020

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jan 10th, 2021

Publication Status: Active

Product extent: 310 Pages

Product Classification / Subject(s): Educational equipment & technology, computer-aided learning (CAL)
Business applications
Network hardware
Software Engineering
Systems analysis & design

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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.
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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