Feature-Based Time Series Classification for Service Request Opening Prediction in the Telecom Industry

Author:

Pereira Fabíola S. F.,Carvalho André C. P. L. F.,Assis Rafael,Costa Maxley,Faria Elaine R.,Julia Rita Maria Silva,Barcelos Umberto,Melo Jony

Publisher

Springer International Publishing

Reference23 articles.

1. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001)

2. Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: synthetic minority over-sampling technique. J. Artif. Int. Res. 16(1), 321–357 (2002)

3. Crawshaw, J.: AI in telecom operations: Opportunities & obstacles. Technical report, Heavy Reading Reports (2018)

4. Diaz-Aviles, E., et al.: Towards real-time customer experience prediction for telecommunication operators. In: IEEE International Conference on Big Data, pp. 1063–1072 (2015)

5. Lecture Notes in Computer Science;TG Dietterich,2000

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