DFSeer: A visual analytics approach to facilitate model selection for demand forecasting
Selecting an appropriate model to forecast product demand is critical to the manufacturing industry. However, due to the data complexity, market uncertainty and users’ demanding requirements for the model, it is challenging for demand analysts to select a proper model. Although existing model select...
Saved in:
Main Authors: | SUN, Dong, FENG, Zezheng, CHEN, Yuanzhe, WANG, Yong, ZENG, Jia, YUAN, Mingxuan, PONG, Ting-Chuen, QU, Huamin |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2020
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/sis_research/5360 https://ink.library.smu.edu.sg/context/sis_research/article/6364/viewcontent/2005.03244.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Singapore Management University |
語言: | English |
相似書籍
-
Computational Intelligence approaches in forecasting demand of essential medical products
由: Chung, Suhwan
出版: (2025) -
PlanningVis: A visual analytics approach to production planning in smart factories
由: SUN, Dong, et al.
出版: (2020) -
Knowledge enhanced neural fashion trend forecasting
由: MA, Yunshan, et al.
出版: (2020) -
FORECASTING DEMAND FOR NEW PRODUCTS
由: HUANG SHANSHAN
出版: (2021) -
Time series demand forecasting on NYC taxi dataset
由: Teh, Timothy Rui Sheng
出版: (2024)