Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2018
Abstract
Demand forecasting has been a challenging problem especially for products with short life cycles such as electronic goods and fashion items. Additionally, in the presence of limited past or historical data as well as the need for fast turnaround for forecast, producing timely and accurate demand forecast can be extremely challenging. In this study, we describe a cloud-based data gathering and processing system for intelligent demand forecasting.
Keywords
Demand forecasting, web crawling, cloud-based data gathering, data engineering
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Research Areas
Data Science and Engineering
Publication
2018 IEEE International Conference on Big Data (Big Data): Seattle, WA, December 10-13: Proceedings
First Page
5451
Last Page
5453
ISBN
9781538650356
Identifier
10.1109/BigData.2018.8622546
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
TAY, Colin K. L. and SHIM, Kyong Jin.
A cloud-based data gathering and processing system for intelligent demand forecasting. (2018). 2018 IEEE International Conference on Big Data (Big Data): Seattle, WA, December 10-13: Proceedings. 5451-5453.
Available at: https://ink.library.smu.edu.sg/sis_research/4338
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/BigData.2018.8622546
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons