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  • Search: subject:"Service optimization"
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Year of publication
Subject
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ATMs 2 artificial neural networks 2 data mining 2 load forecasting 2 machine learning 2 service optimization 2 time series forecasting 2 Artificial intelligence 1 Data Mining 1 Data mining 1 Dienstleistungsberufe 1 Dienstleistungssektor 1 Emotion 1 Forecasting model 1 Gender 1 Geschlecht 1 Künstliche Intelligenz 1 Neural networks 1 Neuronale Netze 1 Prognoseverfahren 1 Robot 1 Roboter 1 Service industry 1 Service workers 1 Theorie 1 Theory 1 Time series analysis 1 Zeitreihenanalyse 1 dolls 1 ethics 1 individual service optimization 1 intimacy 1 robots 1 sex 1 social acceptance 1
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Online availability
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Free 3 CC license 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Article 1
Language
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English 3
Author
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Gobareva, Yana 2 Gorodetskaya, Olga 2 Koroteev, Mikhail 2 Belk, Russell W. 1
Published in...
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Economies 1 Economies : open access journal 1 Journal of service research 1
Source
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ECONIS (ZBW) 2 EconStor 1
Showing 1 - 3 of 3
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Artificial emotions and love and sex doll service workers
Belk, Russell W. - In: Journal of service research 25 (2022) 4, pp. 521-536
Persistent link: https://www.econbiz.de/10013395992
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A machine learning pipeline for forecasting time series in the banking sector
Gorodetskaya, Olga; Gobareva, Yana; Koroteev, Mikhail - In: Economies 9 (2021) 4, pp. 1-15
The problem of forecasting time series is very widely debated. In recent years, machine learning algorithms have been very prolific in this area. This paper describes a systematic approach to building a machine learning predictive model for solving optimization problems in the banking sector. A...
Persistent link: https://www.econbiz.de/10013199943
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Cover Image
A machine learning pipeline for forecasting time series in the banking sector
Gorodetskaya, Olga; Gobareva, Yana; Koroteev, Mikhail - In: Economies : open access journal 9 (2021) 4, pp. 1-15
The problem of forecasting time series is very widely debated. In recent years, machine learning algorithms have been very prolific in this area. This paper describes a systematic approach to building a machine learning predictive model for solving optimization problems in the banking sector. A...
Persistent link: https://www.econbiz.de/10012800488
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