Unveiling Customer Segmentation Patterns in Credit Card Data using K-Means Clustering: A Machine Learning Approach-Reference-Cited by-同舟云学术

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Unveiling Customer Segmentation Patterns in Credit Card Data using K-Means Clustering: A Machine Learning Approach

Published:2023-12-07 Issue: Volume:2 Page:362-366
ISSN:
Container-title:2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom)
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Author:

Priyadarshni Sakshi¹,Fathima Rakshan¹,Urolagin Siddhaling¹,Bongale Anupkumar M.²,Dharrao Deepak Sudhakar³

Affiliation:

1. Birla Institute of Technology and Science,Dept. of Computer Science,Pilani Dubai,United Arab Emirates

2. Symbiosis Institute of Technology,Dept. of Artificial Intelligence and Machine Learning,Pune,India

3. Symbiosis Institute of Technology,Dept. of Computer Science & Engineering,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10458705/10458718/10458783.pdf?arnumber=10458783

Reference12 articles.

1. Deep customer segmentation with applications to a Vietnamese supermarkets’ data

2. Comparative Study of K-Means and Hierarchical Clustering Techniques;Kaushik;International journal of Software and Hardware Research in Engineering.,2014

3. Mall Customer Segmentation Engine Through Clustering Analysis

4. MALL CUSTOMER SEGMENTATION USING MACHINE LEARNING;Mahesh;International Research Journal of Modernization in Engineering Technology and Science,2022

5. Customer segmentation: types of models and clustering techniques;Kubade;International Research Journal of Modernization in Engineering Technology and Science,2023

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