Gama / Pashami / Bifet 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
1. Auflage 2020
ISBN: 978-3-030-66770-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 1325, 310 Seiten, eBook

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Gama, Joao

Pashami, Sepideh

Bifet, Albert

Sayed-Mouchawe, Moamar

Fröning, Holger

Pernkopf, Franz

Schiele, Gregor

Blott, Michaela

Inhaltsverzeichnis

Stream Learning.- Feature Learning.- Unsupervised Machine Learning.- Hardware.- Methods.- Quantization.