IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning
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: | 9783030667696 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 310 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Bifet, Albert Blott, Michaela Fröning, Holger Gama, Joao Pashami, Sepideh Pernkopf, Franz Sayed-Mouchawe, Moamar Schiele, Gregor |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 10.01.2021 |
| Untertitel: | 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 |
| Schlagworte: | Field Programmable Gate Array (FPGA) artificial intelligence computer hardware computer networks computer systems data mining data security distributed computer systems distributed systems embedded systems |