Enhancing Customer Prediction Using Machine Learning with Feature Selection Approaches-Reference-Cited by-同舟云学术

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Enhancing Customer Prediction Using Machine Learning with Feature Selection Approaches

Published:2023 Issue: Volume: Page:45-57
ISSN:2367-3370
Container-title:Inventive Computation and Information Technologies
language:
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Author:

Siva Subramanian R.,Maheswari B.,Nikkath Bushra S.,Nirmala G.,Anita M.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7402-1_4

Reference16 articles.

1. Siva Subramanıan R, Prabha D (2017) A survey on customer relationship management. In: 4th International conference on advanced computing and communication systems (ICACCS). Coimbatore, pp 1–5. https://doi.org/10.1109/ICACCS.2017.8014601. Electronic ISBN: 978-1-5090-4559-4

2. Subramanıan S, Prabha D (2018) Prediction of customer behaviour analysis using classification algorithms. AIP Conf Proc 1952:020098. https://doi.org/10.1063/1.5032060. ISBN: 978-0-7354-1647-5

3. Sıva Subramanıan R, Prabha D (2020) Optimizing Naive Bayes probability estimation in customer analysis using hybrid variable selection. In: 3rd International conference on computer networks and inventive communication technologies (ICCNCT). Springer Publication

4. Vo NNY, Liu S, Li X, Xu G (2021) Leveraging unstructured call log data for customer churn prediction. Knowl-Based Syst 212:106586

5. Panda S, Khamparia A, Gupta D (2021) Feature selection and comparison of classification algorithms for wireless sensor networks. J Ambient Intell Human Comput

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