Customer Segmentation for Targeted Marketing: A Comparative Analysis of Clustering Techniques-Reference-Cited by-同舟云学术

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Customer Segmentation for Targeted Marketing: A Comparative Analysis of Clustering Techniques

Published:2023-11-17 Issue: Volume:3 Page:1-6
ISSN:
Container-title:2023 25th International Multitopic Conference (INMIC)
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Author:

Ali Rasikh¹,Farhat Tayyaba¹,Abdullah Sanya¹,Akram Sheeraz²

Affiliation:

1. The Superior University,Faculty of Computer Science and Information Technology,Lahore,Pakistan,54000

2. Imam Mohammad Ibn Saud Islamic University (IMSIU),College of Computer and Information Sciences,Information Systems Department,Riyadh,Saudi Arabia,12571

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10465673/10465676/10466067.pdf?arnumber=10466067

Reference17 articles.

1. Customer segmentation using clustering algorithms: A review;Bhardwaj;Journal of Data, Information and Management,2021

2. An empirical study of customer segmentation based on clustering algorithms in the era of big data;Chen;Journal of Open Innovation: Technology, Market, and Complexity,2020

3. Customer segmentation for personalized recommendation in e-commerce using machine learning;Guo

4. Customer segmentation based on online retail transaction data using k-means and hierarchical clustering;Kim;Journal of Distribution Science,2018

5. Customer segmentation for online marketing using k-means and fuzzy c-means clustering;Nguyen;International Journal of Advanced Computer Science and Applications,2019

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