A Novel Decision Tree Approach for the Handling of Time Series-Reference-Cited by-同舟云学术

A Novel Decision Tree Approach for the Handling of Time Series

Published:2018 Issue: Volume: Page:351-368
ISSN:0302-9743
Container-title:Mining Intelligence and Knowledge Exploration
language:
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Author:

Brunello Andrea,Marzano Enrico,Montanari Angelo,Sciavicco Guido

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-05918-7_32

Reference36 articles.

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2. Advances in Intelligent Systems and Computing;M Arathi,2015

3. Barros, R.C., Freitas, A.A.: A survey of evolutionary algorithms for decision-tree induction. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 42(3), 291–312 (2012)

4. Boström, H.: Concurrent learning of large-scale random forests. In: SCAI. Frontiers in Artificial Intelligence and Applications, vol. 227, pp. 20–29. IOS Press (2011)

5. Brunello, A., Gallo, P., Marzano, E., Montanari, A., Vitacolonna, N.: An event-based data warehouse to support decisions in multi-channel, multi-service contact centers. J. Cases Inf. Technol. 21(1), 33–51 (2019)

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