Holger Fröning | Akateeminen Kirjakauppa

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IOT STREAMS FOR DATA-DRIVEN PREDICTIVE MAINTENANCE AND IOT, EDGE, AND MOBILE FOR EMBEDDED MACHINE LEARNING - SECOND INTERNATIONA

Joao Gama; Sepideh Pashami; Albert Bifet; Moamar Sayed-Mouchawe; Holger Fröning; Franz Pernkopf; Gregor Schiele; M Blott
Springer Nature Switzerland AG (2021)
Pehmeäkantinen kirja

83,40 €

MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES : INTERNATIONAL WORKSHOPS OF ECML PKDD 2022, GR

Irena Koprinska (ed.); Paolo Mignone (ed.); Riccardo Guidotti (ed.); Szymon Jaroszewicz (ed.); Holger Fröning (ed.); Gullo
Springer (2023)
Pehmeäkantinen kirja

107,50 €

MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES : INTERNATIONAL WORKSHOPS OF ECML PKDD 2022, GR

Irena Koprinska (ed.); Paolo Mignone (ed.); Riccardo Guidotti (ed.); Szymon Jaroszewicz (ed.); Holger Fröning (ed.); Gullo
Springer (2023)
Pehmeäkantinen kirja

78,60 €

IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second Internationa

Joao Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchawe, Holger Fröning, Franz Pernkopf, Gregor Schiele, M Blott

83,40 €

Springer Nature Switzerland AG
Sivumäärä: 310 sivua
Asu: Pehmeäkantinen kirja
Painos: 1st ed. 2020
Julkaisuvuosi: 2021, 10.01.2021 (lisätietoa)
Kieli: Englanti
Tuotesarja: Communications in Computer and Information Science 1325

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.

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