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  • Search: subject:"Clustering time series"
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Year of publication
Subject
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Clustering time series 3 Time series analysis 3 Zeitreihenanalyse 3 Cluster analysis 2 Clusteranalyse 2 Forecasting model 2 Prognoseverfahren 2 Regional cluster 2 Regionales Cluster 2 Theorie 2 Theory 2 Aggregation 1 Bagging methods 1 Bootstrap approach 1 Bootstrap-Verfahren 1 Customer service 1 Dependency measures 1 Electronic aftermarket services 1 Ersatzteil 1 Exponential smoothing 1 Factor analysis 1 Faktorenanalyse 1 Knowledge discovery 1 Kundenservice 1 Lagermanagement 1 Lieferkette 1 Logistics 1 Logistik 1 Multivariate Analyse 1 Multivariate additive outliers 1 Multivariate analysis 1 Multivariate level shifts 1 Partitioning around medoids 1 Principal components 1 Purchase life-cycle forecasting 1 Spare part logistics 1 Spare parts 1 Supply chain 1 Variance reduction 1 Warehouse management 1
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Undetermined 3
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3
Language
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English 3
Author
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Alonso, Andrés M. 1 Dantas, Tiago Mendes 1 Dombi, József 1 Galeano, Pedro 1 Jónás, Tamás 1 Oliveira, Fernando Luiz Cyrino 1 Peña, Daniel 1 Tóth, Zsuzsanna Eszter 1
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Published in...
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International journal of forecasting 1 International journal of production economics 1 Journal of econometrics 1
Source
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
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A robust procedure to build dynamic factor models with cluster structure
Alonso, Andrés M.; Galeano, Pedro; Peña, Daniel - In: Journal of econometrics 216 (2020) 1, pp. 35-52
Persistent link: https://www.econbiz.de/10012439635
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Modeling and long-term forecasting demand in spare parts logistics businesses
Dombi, József; Jónás, Tamás; Tóth, Zsuzsanna Eszter - In: International journal of production economics 201 (2018), pp. 1-17
Persistent link: https://www.econbiz.de/10011870114
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Improving time series forecasting: an approach combining bootstrap aggregation, clusters and exponential smoothing
Dantas, Tiago Mendes; Oliveira, Fernando Luiz Cyrino - In: International journal of forecasting 34 (2018) 4, pp. 748-761
Persistent link: https://www.econbiz.de/10012031097
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