Classifying Automated Programming Contracts Using TanH2 Decision Tree Classifier-Reference-Cited by-同舟云学术

Classifying Automated Programming Contracts Using TanH2 Decision Tree Classifier

Published:2021 Issue: Volume: Page:739-754
ISSN:2367-4512
Container-title:Innovative Data Communication Technologies and Application
language:
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Author:

Gayetri Devi S. V.,Nalini C.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-9651-3_60

Reference17 articles.

1. Panhalkar A, Doye D (2017) An outlook in some aspects of hybrid decision tree classification approach: a survey. In: Satapathy S, Bhateja V, Joshi A (eds) Proceedings of the international conference on data engineering and communication technology. Advances in intelligent systems and computing, vol 469. Springer, Singapore. doi: https://doi.org/10.1007/978-981-10-1678-3_8

2. Gayetri Devi SV, Nalini C (2020) Optimization of automated software contracts generation by modified particle swarm optimization. Int J Fut Gener Commun Netw 13(1):629–637

3. Adibi MA (2019) Single and multiple outputs decision tree classification using bi-level discrete-continues genetic algorithm. Pattern Recogn Lett 128:190–196. ISSN 0167-8655. doi: https://doi.org/10.1016/j.patrec.2019.09.001

4. Gayetri Devi SV, Nalini C (2019) A systematic judgment to automated programming contracts generation. Int J Recent Technol Eng (IJRTE) 8(2). ISSN: 2277-3878

5. Chabbouh M, Bechikh S, Hung C-C, Said LB (2019) Multi-objective evolution of oblique decision trees for imbalanced data binary classification. Swarm Evolut Comput 49:1–22. ISSN 2210-6502. doi: https://doi.org/10.1016/j.swevo.2019.05.005

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