Gap-Filling of Missing Weather Conditions Data Using Support Vector Regression Method

Author:

Osman Heba,El-Bendary Nashwa,El Fakharany Essam

Publisher

Springer International Publishing

Reference20 articles.

1. Shao, Y., Chen, Z.: Reconstruction of missing big sensor data, computer and communication. In: 2nd IEEE International Conference (ICCC), pp. 1–13 (2017)

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3. Fekade, B., Maksymyuk, T., Kyryk, M., Jo, M.: Probabilistic recovery of incomplete sensed data in IoT. IEEE Internet of Things J. 1(99) (2017)

4. Ayodele, T.: Machine learning overview (Chap. 2). In: Zhang, Y. (ed.) New Advances in Machine Learning (2010)

5. Rao, T., Rajasekhar, N., Rajinikanth, T.: An efficient approach for weather forecasting using support vector machines. In: International Conference on Computer Technology and Science, vol. 47 (2012)

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