Predict Your Customer Through Customer Behavior with Dynamic Churn Prediction Using Machine Learning Algorithms

Authors

  • K. Harisesha Chandana  Department of Computer Science and Engineering, Sree Rama Engineering College, Tirupati, Andhra Pradesh, India
  • G. Lakshmikanth  Department of Computer Science and Engineering, Sree Rama Engineering College, Tirupati, Andhra Pradesh, India

Keywords:

Supervised learning, Machine Learning, Random Forest Algorithm and Support Vector Machines.

Abstract

In current days, the customers are getting more attracted towards the quality of service (QoS) provided by the organizations. However, the current era is evidencing higher competition in providing technologically advanced QoS to the customers. Nevertheless, efficient customer relationship management systems can be advantageous for the organization for gaining more customers, maintaining customer relationships and improve customer retention by adding more profit to the organizational business. Furthermore, the machine learning models such as support vector machine Random Forest algorithms can add more value to the customer retention strategies.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-10-30

Issue

Volume 8, Issue 5, September-October-2022

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
K. Harisesha Chandana, G. Lakshmikanth, " Predict Your Customer Through Customer Behavior with Dynamic Churn Prediction Using Machine Learning Algorithms" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 5, pp.112-121, September-October-2022.