Optimizıng Naive Bayes Probability Estimation in Customer Analysis Using Hybrid Variable Selection-Reference-Cited by-同舟云学术

Optimizıng Naive Bayes Probability Estimation in Customer Analysis Using Hybrid Variable Selection

Published:2021 Issue: Volume: Page:595-612
ISSN:2367-4512
Container-title:Computer Networks and Inventive Communication Technologies
language:
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Author:

Siva Subramanian R.,Prabha D.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-9647-6_47

Reference25 articles.

1. Chen IJ, Popovich K (2003) Understanding customer relationship management (CRM): people process and technology. Business Process Manage J 9(5):672–688. https://doi.org/10.1108/14637150310496758

2. Prabha D, Subramanian R (2017) A survey on customer relationship management. 1–5. https://doi.org/10.1109/ICACCS.2017.8014601

3. Pouria K, Sunita D (2017) Short survey on naive bayes algorithm. Int J Adv Res Comput Sci Manage 04

4. Sona T, Musa M, Bagirov AM (2011) Improving Naive Bayes classifier using conditional probabilities. In: 9th Australasian data mining conference. vol 121. pp 63–68

5. Aliezanejad M, Enayatifar R, Motameni H, Nematzadeh H (2019) Heuristic filter feature selection methods for medical datasets. Genomics. https://doi.org/10.1016/j.ygeno.2019.07.002

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