Search Results - subject:"Time series clustering"

How did COVID-19 change what people buy : evidence from a supermarket chain

Zuokas, Danas; Gul, Evren; Lim, Alvin - In: Journal of retailing and consumer services 68 (2022), pp. 1-14

Persistent link: https://www.econbiz.de/10013366299

Augustyński, Iwo; Laskoś-Grabowski, Paweł - In: ECONOMETRICS. EKONOMETRIA: Advances in Applied Data Analysis 22 (2018) 2, pp. 74-88

The data mining technique of time series clustering is well established in many fields. However, as an unsupervised … this paper is to verify usefulness of the time series clustering method for macroeconomics research, and to develop the …

Persistent link: https://www.econbiz.de/10011874475

Clustering macroeconomic time series

Augustyński, Iwo; Laskoś-Grabowski, Paweł - 2018 - [aktualisierte Version]

Persistent link: https://www.econbiz.de/10011885973

Clustering Macroeconomic Time Series

Augustyński, Iwo; Laskoś-Grabowski, Paweł - 2017

methods of time series clustering. However, even as an unsupervised learning method, this technique requires making choices …

Persistent link: https://www.econbiz.de/10011752326

Clustering macroeconomic time series

Augustyński, Iwo; Laskoś-Grabowski, Paweł - 2017

methods of time series clustering. However, even as an unsupervised learning method, this technique requires making choices …

Persistent link: https://www.econbiz.de/10011763799

Development of an efficient cluster-based portfolio optimization model under realistic market conditions

Massahi, Mahdi; Mahootchi, Masoud; Khamseh, Alireza Arshadi - In: Empirical economics : a journal of the Institute for … 59 (2020) 5, pp. 2423-2442

Persistent link: https://www.econbiz.de/10012315071

Weighted ensemble of statistical models

Pawlikowski, Maciej; Chorowska, Agata - In: International journal of forecasting 36 (2020) 1, pp. 93-97

Persistent link: https://www.econbiz.de/10012405980

Behavior-based scenario discovery using time series clustering

Steinmann, Patrick; Auping, Willem L.; Kwakkel, Jan H. - In: Technological forecasting & social change : an … 156 (2020), pp. 1-9

Persistent link: https://www.econbiz.de/10012514689

Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization

Candelieri, Antonio; Giordani, Ilaria; Archetti, Francesco - In: Computers & operations research : and their … 106 (2019), pp. 202-209

Persistent link: https://www.econbiz.de/10012014411

Co-movement of commodity prices – results from dynamic time warping classification

Śmiech, Sławomir - Volkswirtschaftliche Fakultät, … - 2014

Several factors are responsible for difficulties in describing the behaviour of commodity prices. Firstly, there are numerous different categories of commodities. Secondly, some categories overlap with other categories, while others indirectly compete in the market. Thirdly, although essentially...

Persistent link: https://www.econbiz.de/10011112698