A Machine-Learning Ensemble Method for Temporal-aware Sales Forecasting-Reference-Cited by-同舟云学术

A Machine-Learning Ensemble Method for Temporal-aware Sales Forecasting

Published:2022-07-22 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Data Science and Information Technology (DSIT)
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Author:

Aun Yichiet¹,Khaw Yen-Min Jasmina¹,Gan Ming Lee¹,Chern Debra Lee Hooi¹

Affiliation:

1. Universiti Tunku Abdul Rahman,Faculty of Information Communication and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9943793/9943812/09943925.pdf?arnumber=9943925

Reference20 articles.

1. ARIMA Model Estimated by Particle Swarm Optimization Algorithm for Consumer Price Index Forecasting

2. Identifying demand factors for promotional planning and forecasting: A case of a soft drink company in the UK

3. Calendar variation model based on ARIMAX for forecasting sales data with Ramadhan effect;lee;Proceedings of the Regional Conference on Statistical Sciences,0

4. An ANN Approach to Demand Forecasting in Retail Trade in Bangladesh

5. Distributional regression for demand forecasting in e-grocery;ulrich;European Journal of Operational Research,2019

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