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Communications in Computer and Information Science
cover

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

Editors: Gama, J., Pashami, S., Bifet, A., Sayed-Mouchawe, M., Fröning, H., Pernkopf, F., Schiele, G., Blott, M. (Eds.)

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eBook $64.99
price for USA
  • ISBN 978-3-030-66770-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $84.99
price for USA
  • ISBN 978-3-030-66769-6
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

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.

Table of contents (22 chapters)

Table of contents (22 chapters)
  • Self Hyper-parameter Tuning for Stream Classification Algorithms

    Pages 3-13

    Veloso, Bruno (et al.)

  • Challenges of Stream Learning for Predictive Maintenance in the Railway Sector

    Pages 14-29

    Nguyen, Minh Huong (et al.)

  • CycleFootprint: A Fully Automated Method for Extracting Operation Cycles from Historical Raw Data of Multiple Sensors

    Pages 30-44

    Fanaee-T, Hadi (et al.)

  • Valve Health Identification Using Sensors and Machine Learning Methods

    Pages 45-60

    Atif Qureshi, M. (et al.)

  • Failure Detection of an Air Production Unit in Operational Context

    Pages 61-74

    Barros, Mariana (et al.)

Buy this book

eBook $64.99
price for USA
  • ISBN 978-3-030-66770-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $84.99
price for USA
  • ISBN 978-3-030-66769-6
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock

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Bibliographic Information

Bibliographic Information
Book Title
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning
Book Subtitle
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
Editors
  • Joao Gama
  • Sepideh Pashami
  • Albert Bifet
  • Moamar Sayed-Mouchawe
  • Holger Fröning
  • Franz Pernkopf
  • Gregor Schiele
  • Michaela Blott
Series Title
Communications in Computer and Information Science
Series Volume
1325
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-66770-2
DOI
10.1007/978-3-030-66770-2
Softcover ISBN
978-3-030-66769-6
Series ISSN
1865-0929
Edition Number
1
Number of Pages
XVII, 310
Number of Illustrations
84 b/w illustrations
Topics