A Big Data Query Optimization Framework for Telecom Customer Churn Analysis-Reference-Cited by-同舟云学术

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A Big Data Query Optimization Framework for Telecom Customer Churn Analysis

Published:2021-09-01 Issue: Volume: Page:475-484
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Chugh Aarti,Sharma Vivek Kumar,Bhatia Manjot Kaur,Jain Charu

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2597-8_40

Reference30 articles.

1. N. Naga, P. Prithvi, Customer churn prediction using big data analytics (2016)

2. A. Kanavos, N. Nodarakis, S. Sioutas, A. Tsakalidis, D. Tsolis, G. Tzimas, Large scale implementations for twitter sentiment classification. Algorithms 10, 1–21 (2017). https://doi.org/10.3390/a10010033

3. A. Alsaeedi, M.Z. Khan, A study on sentiment analysis techniques of twitter data. Int. J. Adv. Comput. Sci. Appl. 10, 361–374 (2019). https://doi.org/10.14569/ijacsa.2019.0100248

4. S. Shayaa, N.I. Jaafar, S. Bahri, A. Sulaiman, P. Seuk Wai, Y. Wai Chung, A.Z. Piprani, M.A. Al-Garadi, Sentiment analysis of big data: methods, applications, and open challenges. IEEE Access 6, 37807–37827 (2018). https://doi.org/10.1109/ACCESS.2018.2851311

5. N.C. Dang, M.N. Moreno-García, F. de la Prieta, Sentiment analysis based on deep learning: a comparative study. Electronics 9, 1–29 (2020)

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