Retail Industry Analytics: Unraveling Consumer Behavior through RFM Segmentation and Machine Learning-Reference-Cited by-同舟云学术

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Retail Industry Analytics: Unraveling Consumer Behavior through RFM Segmentation and Machine Learning

Published:2024-05-30 Issue: Volume:4 Page:545-551
ISSN:
Container-title:2024 IEEE International Conference on Electro Information Technology (eIT)
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Author:

Arefin Sydul¹,Parvez Rezwanul²,Ahmed Tanvir³,Ahsan Mostofa³,Sumaiya Fnu⁴,Jahin Fariha⁵,Hasan Munjur⁶

Affiliation:

1. Texas A&M University,Texarkana,USA

2. Colorado State University,Colorado,USA

3. North Dakota State University,North Dakota,USA

4. University of North Dakota,North Dakota,USA

5. Rajshahi University of Engineering & Technology,Rajshahi,Bangladesh

6. Gono Bishwabidyalay,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609838/10609857/10609927.pdf?arnumber=10609927

Reference30 articles.

1. RFM Based Market Segmentation Approach Using Advanced K-means and Agglomerative Clustering: A Comparative Study

2. New RFM-D classification model for improving customer analysis and response prediction

3. Customer decision-making analysis based on big social data using machine learning: a case study of hotels in Mecca

4. Using Supervised Machine Learning Methods for RFM Segmentation: A Casino Direct Marketing Communication Case

5. An Efficient CRM-Data Mining Framework for the Prediction of Customer Behaviour

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