A Comparative Study of RFM-Based Clustering Methods in Customer Segmentation-Reference-Cited by-同舟云学术

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A Comparative Study of RFM-Based Clustering Methods in Customer Segmentation

Published:2023-12-13 Issue: Volume:1 Page:1-6
ISSN:
Container-title:2023 26th International Conference on Computer and Information Technology (ICCIT)
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Author:

Ahammed Khair¹,Azad Rahat Uddin¹,Al Jaber Md.¹,Tareq Rony Mohammad Abu²,Ahammad Mejbah³

Affiliation:

1. Noakhali Science and Technology University,Institute of Information Technology,Noakhali,Bangladesh,3814

2. Noakhali Science and Technology University,Department of Statistics,Noakhali,Bangladesh,3814

3. American International University Bangladesh,Computer Science and Engineering,Dhaka,Bangladesh,1229

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10440723/10440967/10441081.pdf?arnumber=10441081

Reference33 articles.

1. A practical yet meaningful approach to customer segmentation

2. An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry

3. Customer segmentation and strategy development based on customer lifetime value: A case study

4. Joint optimization of customer segmentation and marketing policy to maximize long-term profitability

5. Intelligent value-based customer segmentation method for campaign management: A case study of automobile retailer

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