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Title 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 / edited by Joao Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchawe, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott.
Edition First edition 2020.
OCLC 978-3-030-66770-2
ISBN 9783030667702
ISBN/ISSN 10.1007/978-3-030-66770-2 doi
Publisher Cham : Springer International Publishing : Imprint: Springer, 2020.
Description XVII, 310 pages 84 illustrations : online resource.
text file PDF rda
LC Subject heading/s Artificial intelligence.
Computer networks.
Computer architecture.
EducationData processing.
Application software.
Software engineering.
Other
Subject heading/s		 Artificial Intelligence. https://scigraph.springernature.com/ontologies/product-market-codes/I21000
Computer Communication Networks. https://scigraph.springernature.com/ontologies/product-market-codes/I13022
Computer System Implementation. https://scigraph.springernature.com/ontologies/product-market-codes/I13057
Computers and Education. https://scigraph.springernature.com/ontologies/product-market-codes/I24032
Computer Appl. in Social and Behavioral Sciences. https://scigraph.springernature.com/ontologies/product-market-codes/I23028
Software Engineering/Programming and Operating Systems. https://scigraph.springernature.com/ontologies/product-market-codes/I14002
Contents Stream Learning -- Feature Learning -- Unsupervised Machine Learning -- Hardware -- Methods -- Quantization.
Summary 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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