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 /
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] :
edited by Joao Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchawe, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott.
- 1st ed. 2020.
- XVII, 310 p. 84 illus. online resource.
- Communications in Computer and Information Science, 1325 1865-0937 ; .
- Communications in Computer and Information Science, 1325 .
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.
9783030667702
10.1007/978-3-030-66770-2 doi
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.
Q334-342 TA347.A78
006.3
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.
9783030667702
10.1007/978-3-030-66770-2 doi
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.
Q334-342 TA347.A78
006.3