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Predict Customer Churn through Customer Behaviour using Machine Learning Algorithms

    Authors

    • Harini T 1
    • Hari Krishna T 2
    • Sushma G 1
    • Charankumar Reddy P 1
    • Mohammad Thahir S 3

    1 Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, Rajampet, Andhra Pradesh, India.

    2 Associate Professor & Head, Department of Artificial Intelligence and Machine Learning, Annamacharya Institute of Technology and Sciences, Rajampet, Andhra Pradesh, India.

    3 Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, Rajampet, Andhra Pradesh, India

,

Document Type : Research Article

10.47392/irjash.2023.S045
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Abstract

Customers are becoming more concerned to the quality of service (QoS) offered by organizations in the present. However, the present day shows greater rivalry in offering the clients with technologically innovative QoS. However, an organization may benefit from effective customer relationship management systems in order to increase sales, maintain relationships with existing customers and improve customer retention. The customer retention strategies can benefit greatly by the use of machine learning models Decision Tree, Naïve-Bayes Classification, Logistic Regression algorithms.

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International Research Journal on Advanced Science Hub
Volume 5, Issue 05S - Issue Serial Number 5
May 2023
Page 333-337
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History
  • Receive Date: 02 March 2023
  • Revise Date: 18 March 2023
  • Accept Date: 24 March 2023
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  • Article View: 276
  • PDF Download: 198

APA

T, H. , T, H. K. , G, S. , P, C. R. and S, M. T. (2023). Predict Customer Churn through Customer Behaviour using Machine Learning Algorithms. International Research Journal on Advanced Science Hub, 5(Issue 05S), 333-337. doi: 10.47392/irjash.2023.S045

MLA

T, H. , , T, H. K. , , G, S. , , P, C. R. , and S, M. T. . "Predict Customer Churn through Customer Behaviour using Machine Learning Algorithms", International Research Journal on Advanced Science Hub, 5, Issue 05S, 2023, 333-337. doi: 10.47392/irjash.2023.S045

HARVARD

T, H., T, H. K., G, S., P, C. R., S, M. T. (2023). 'Predict Customer Churn through Customer Behaviour using Machine Learning Algorithms', International Research Journal on Advanced Science Hub, 5(Issue 05S), pp. 333-337. doi: 10.47392/irjash.2023.S045

CHICAGO

H. T , H. K. T , S. G , C. R. P and M. T. S, "Predict Customer Churn through Customer Behaviour using Machine Learning Algorithms," International Research Journal on Advanced Science Hub, 5 Issue 05S (2023): 333-337, doi: 10.47392/irjash.2023.S045

VANCOUVER

T, H., T, H. K., G, S., P, C. R., S, M. T. Predict Customer Churn through Customer Behaviour using Machine Learning Algorithms. International Research Journal on Advanced Science Hub, 2023; 5(Issue 05S): 333-337. doi: 10.47392/irjash.2023.S045

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