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  • Search: person:"Bandara, Kasun"
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Year of publication
Subject
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Forecasting model 3 Prognoseverfahren 3 Theorie 2 Theory 2 Time series analysis 2 Zeitreihenanalyse 2 Artificial intelligence 1 Best practices 1 Big Data 1 Big data 1 Consumer behaviour 1 Forecast 1 Forecasting 1 Framework 1 Global forecasting models 1 Konsumentenverhalten 1 Künstliche Intelligenz 1 LightGBM models 1 M5 forecasting competition 1 Neural networks 1 Neuronale Netze 1 Pooled Regression models 1 Prognose 1 Regression analysis 1 Regressionsanalyse 1 Sales demand forecasting 1
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Undetermined 2
Type of publication
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 3
Author
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Bandara, Kasun 3 Hewamalage, Hansika 2 Alizamir, Saed 1 Bergmeir, Christoph 1 Eshragh, Ali 1 Gamakumara, Puwasala 1 Godahewa, Rakshitha 1 Iravani, Foad 1
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Published in...
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International journal of forecasting 2
Source
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
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A fast and scalable ensemble of global models with long memory and data partitioning for the M5 forecasting competition
Bandara, Kasun; Hewamalage, Hansika; Godahewa, Rakshitha; … - In: International journal of forecasting 38 (2022) 4, pp. 1400-1404
Persistent link: https://www.econbiz.de/10014381097
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Recurrent Neural Networks for time series forecasting : Current status and future directions
Hewamalage, Hansika; Bergmeir, Christoph; Bandara, Kasun - In: International journal of forecasting 37 (2021) 1, pp. 388-427
Persistent link: https://www.econbiz.de/10012693081
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An Interpretable Machine Learning Approach to Predicting Customer Behavior on JD.Com
Iravani, Foad; Alizamir, Saed; Eshragh, Ali; Bandara, Kasun - 2020
Problem definition: JD.com is the largest online retailer in China, serving millions of customers every day. We use JD’s sales data for a particular product category to examine what features and characteristics have the highest impact on JD’s customers’ behavior and sales....
Persistent link: https://www.econbiz.de/10014031580
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