SATISFy: Towards a self-learning analyzer for time series forecasting in self-improving systems

DOI:	https://doi.org/10.1109/FAS-W.2018.00045
URL:	https://ieeexplore.ieee.org/document/8599552
Additional URL:	https://dblp.uni-trier.de/db/conf/saso/fasw2018.ht...
Document Type:	Conference or workshop publication
Year of publication:	2018
Book title:	2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems -FAS*W 2018- : Trento, Italy, September 3-7, 2018 : proceedings
Page range:	182-189
Conference title:	FAS*W 2018
Location of the conference venue:	Trento, Italy
Date of the conference:	September 3-7, 2018
Publisher:	Bilof, Randall
Place of publication:	Piscataway, NJ [u.a.]
Publishing house:	IEEE Computer Society
ISBN:	978-1-5386-5176-6 , 978-1-5386-5175-9
Publication language:	English
Institution:	Business School > Wirtschaftsinformatik II (Becker 2006-2021)
Subject:	004 Computer science, internet

Dieser Eintrag ist Teil der Universitätsbibliographie.

BASE: Krupitzer, Christian ; Pfannemüller, Martin ; Kaddour, Jean ; Becker, Christian

Google Scholar: Krupitzer, Christian ; Pfannemüller, Martin ; Kaddour, Jean ; Becker, Christian

ORCID: Krupitzer, Christian

; Pfannemüller, Martin

; Kaddour, Jean ; Becker, Christian

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