Multi-source Heterogeneous and XBOOST Vehicle Sales Forecasting Model-Reference-Cited by-同舟云学术

Multi-source Heterogeneous and XBOOST Vehicle Sales Forecasting Model

Published:2020-11-05 Issue: Volume: Page:340-347
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Zhang Fan,Yang Jing,Guo Yaxin,Gu Hongjian

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-62746-1_50

Reference10 articles.

1. Wang Feng, H., Liang, Z.J., et al.: A semantics-based approach to multi-source heterogeneous information fusion in the Internet of Things. Soft. Comput. 21(8), 2005–2013 (2017)

2. Heng, S., Zhigeng, F., Qin, Z., et al.: Research on an exponential distribution reliability function model based on multi-source heterogeneous data supplements. Grey Syst. Theo. Appl. 7(3), 329–342 (2017)

3. Gupta, C., Jain, A., Joshi, N.: DE-ForABSA: a novel approach to forecast automobiles sales using aspect based sentiment analysis and differential evolution. Int. J. Inf. Retrieval Res. 9(1), 33–49 (2019)

4. Junjie, G., Yanan, X., Xiaomin, C., et al.: Chinese automobile sales forecasting using economic indicators and typical domestic brand automobile sales data: a method based on econometric model. Adv. Mech. Eng. 10(2), 168781401774932 (2018)

5. Sun, H., Dang, Y., Mao, W.: A decision-making method with grey multi-source heterogeneous data and its application in green supplier selection. Int. J. Environ. Res. Public Health 15(3), 446 (2018)

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