Search Results - subject:"Time series clustering"

Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering

Ducharme, Corey; Agard, Bruno; Trépanier, Martin - In: Journal of forecasting 43 (2024) 5, pp. 1661-1681

Persistent link: https://www.econbiz.de/10015108428

A hierarchical agglomerative clustering for product sales forecasting

Ruitenbeek, R. E. van; Koole, Ger M.; Bhulai, S. - In: Decision analytics journal 8 (2023), pp. 1-12

Many forecasting methods perform poorly when dealing with intermittent demand patterns and large variations in demand quantity. The presence of significant fluctuations within the time series, coupled with a substantial proportion of zero observations, complicates the extraction of trend and...

Persistent link: https://www.econbiz.de/10014520564

Time series clustering of COVID-19 pandemic-related data

Luo, Zhixue; Zhang, Lin; Liu, Na; Wu, Ye - In: Data science and management : DSM 6 (2023) 2, pp. 79-87

demonstrate that it is feasible to analyze the patterns of the pandemic using a time-series clustering approach. In this work, we …

Persistent link: https://www.econbiz.de/10014518003

Cross-border spillovers in G20 sovereign CDS markets : cluster analysis based on K-means machine learning algorithm and TVP–VAR models

Chen, Zhizhen; Shi, Guifen; Sun, Boyang - 2024

Persistent link: https://www.econbiz.de/10015142095

A statistical analysis of COVID-19 mortality dynamics : unraveling the interplay between vaccination trends, socioeconomic factors, and government interventions in Brazilian states

Villar, Jéssica; Maddalena, Lucas; Camargo, Thaís de Abreu - In: Socio-economic planning sciences : the international … 92 (2024), pp. 1-9

Persistent link: https://www.econbiz.de/10014529178

Mobility pattern changes in Indonesia in response to COVID-19

Pramana, Setia; Yuniarti; Paramartha, Dede Yoga; … - In: Economics and finance in Indonesia : EFI 67 (2021) 1, pp. 75-96

Persistent link: https://www.econbiz.de/10012627561

A new method based on ensemble time series for fast and accurate clustering

Ghorbanian, Ali; Razavi, Hamideh - In: Data Technologies and Applications 57 (2023) 5, pp. 756-779

approach. Originality/value This paper proposed a fast and accurate approach for time series clustering in three main steps …

Persistent link: https://www.econbiz.de/10014712735

An algorithmic trading system based on a stacked generalization model and hidden Markov model in the foreign exchange market

Fereydooni, Ali; Mahootchi, Masoud - In: Global finance journal 56 (2023), pp. 1-24

Persistent link: https://www.econbiz.de/10014478899

Regional economic disparities in Europe : time-series clustering of nuts 3 regions

López-Villuendas, Ana María; Del Campo, Cristina - In: International regional science review : IRSR ; an … 46 (2023) 3, pp. 265-298

Persistent link: https://www.econbiz.de/10014252994

On the linkages between energy and agricultural commodity prices : a dynamic time warping analysis

Miljkovic, Dragan; Vatsa, Puneet - In: International review of financial analysis 90 (2023), pp. 1-13

Persistent link: https://www.econbiz.de/10014467554