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IoT Streams for Data-Driven Predicti...
~
(1998 :)
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learningsecond 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 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learningedited by Joao Gama ... [et al.].
Reminder of title:
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 /
remainder title:
IoT Streams 2020
other author:
Gama, Joao.
corporate name:
Published:
Cham :Springer International Publishing :2020.
Description:
xvii, 310 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence
Online resource:
https://doi.org/10.1007/978-3-030-66770-2
ISBN:
9783030667702$q(electronic bk.)
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learningsecond International Workshop, IoT Streams 2020, and first International Workshop, ITEM 2020, co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020 : revised selected papers /
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning
second International Workshop, IoT Streams 2020, and first International Workshop, ITEM 2020, co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020 : revised selected papers /[electronic resource] :IoT Streams 2020edited by Joao Gama ... [et al.]. - Cham :Springer International Publishing :2020. - xvii, 310 p. :ill., digital ;24 cm. - Communications in computer and information science,13251865-0929 ;. - Communications in computer and information science ;229..
Stream Learning -- Feature Learning -- Unsupervised Machine Learning -- Hardware -- Methods -- Quantization.
This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020. Due to the COVID-19 pandemic the workshops were held online. The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics: IoT Streams 2020: Stream Learning; Feature Learning; ITEM 2020: Unsupervised Machine Learning; Hardware; Methods; Quantization.
ISBN: 9783030667702$q(electronic bk.)
Standard No.: 10.1007/978-3-030-66770-2doiSubjects--Topical Terms:
252958
Artificial intelligence
LC Class. No.: TA347.A78 / I58 2020
Dewey Class. No.: 006.3
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learningsecond 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 /
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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 /
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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. 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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EB TA347.A78 I64 2020 2020
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https://doi.org/10.1007/978-3-030-66770-2
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