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Original Article

Data Processing and mining for customer segmentation

Parth Bramhecha1 Shubham Chandratre2 Parth Manekar3 Ravindra Murumkar4
124Department of Information Technology, Pune Institute of Computer Technology, Pune, Maharashtra, India. 3Department of Electronics and Telecommunication, Pune Institute of Computer Technology, Pune, Maharashtra, India.

Published Online: May-August 2025

Pages: 239-245

References

[1]. Sebastian, Joshua Patterson, Raschka and Corey Nolet. “Machine Learning in Python: Main Developments and Technology Trends in Data
Science, Machine Learning, and Artificial Intelligence.” *IEEE Access*, Received: 6 February 2020; Accepted: 31 March 2020; Published:
4 April 2020
[2]. Wei, Jo-Ting, Shih-Yen Lin, and Hsin-Hung Wu. “A Review of the Application of the RFM Model.” *African Journal of Business
Management*, January 2010.
[3]. Sinaga, Kristina P., and Miin-Shen Yang. “Unsupervised K-Means Clustering Algorithm.” *IEEE Access*, Received April 5, 2020;
Accepted April 16, 2020; Published April 20, 2020; Current Version May 13, 2020.
[4]. Zamil, Ahmad M. A., and T. G. Vasista. “Customer Segmentation Using RFM Analysis: Realizing Through Python Implementation.”
*Pacific Business Review International*, Volume 13, Issue 11, May 2021.
[5]. Zhao, Hong-Hao, Xi-Chun Luo, Rui Ma, and Xi Lu. “An Extended Regularized K-Means Clustering Approach for High-Dimensional
Customer Segmentation With Correlated Variables.” *IEEE Access*, 2021.

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