Data Mining Classification Models for Industrial Planning-Reference-Cited by-同舟云学术

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Data Mining Classification Models for Industrial Planning

Published:2017 Issue: Volume: Page:585-594
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Bragança Ricardo,Portela Filipe,Vale A.,Guimarães Tiago,Santos Manuel

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-5427-3_60

Reference24 articles.

1. Alsultanny, Y.: Labor market forecasting by using data mining. Procedia Comput. Sci. 18, 1700–1709 (2013)

2. Xu, W., Zheng, T., Li, Z.: A neural network based forecasting method for the unemployment rate: prediction using the search engine query data. Presented at the 2011 Eighth IEEE International Conference on e-Business Engineering (2011)

3. Ramos, S., Duarte, J., Duarte, F.J., Vale, Z.: A data-mining-based methodology to support MV electricity customers characterization. Procedia Energy Build. 91, 16–25 (2015)

4. Yan, W.: Application research of data mining technology about teaching quality assessment in colleges and universities. Procedia Eng. 15, 4241–4245 (2011)

5. Ren, X., Yan, D., Hong, T.: Data mining of space heating system performance in affordable housing. Procedia Build. Environ. 89, 1–13 (2015)

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1. Influence of the Spatial Distribution of Jobs in Intervening Opportunities Models;Transportation Research Record: Journal of the Transportation Research Board;2023-01-06

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