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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 / edited by Joao Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchawe, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1325
- Communications in Computer and Information Science, 1865-0937 ; 1325
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer networks.
- Computer systems.
- Education-Data processing.
- Social sciences-Data processing.
- Software engineering.
- Artificial Intelligence.
- Computer Communication Networks.
- Computer System Implementation.
- Computers and Education.
- Computer Application in Social and Behavioral Sciences.
- Software Engineering.
- Local Subjects:
- Artificial Intelligence.
- Computer Communication Networks.
- Computer System Implementation.
- Computers and Education.
- Computer Application in Social and Behavioral Sciences.
- Software Engineering.
- Physical Description:
- 1 online resource (XVII, 310 pages) : 84 illustrations
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- 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.
- Contents:
- Stream Learning
- Feature Learning
- Unsupervised Machine Learning
- Hardware
- Methods
- Quantization.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-66770-2
- 9783030667702
- Access Restriction:
- Restricted for use by site license.
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