Customer Segmentation Using Clustering Analysis-Reference-Cited by-同舟云学术

Customer Segmentation Using Clustering Analysis

Published:2024-06-28 Issue: Volume:1 Page:1-5
ISSN:
Container-title:2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)
language:
Short-container-title:

Author:

Jiet Moses Makuei¹,Kamble Aahash²,Puri Chetan¹,Yesankar Prajyot¹,Verma Prateek³,Rewatkar Rajendra⁴

Affiliation:

1. Datta Meghe Institute of Higher Education & Research (DU),Faculty of Engineering and Technology,Department of Computer Science & Design,Wardha,Maharashtra,India,442001

2. Datta Meghe Institute of Higher Education & Research (DU),Faculty of Engineering and Technology,Department of Artificial Intelligence & Data Science,Wardha,Maharashtra,India,442001

3. Datta Meghe Institute of Higher Education & Research (DU),Faculty of Engineering and Technology,Department of Artificial Intelligence & Machine Learning,Wardha,Maharashtra,India,442001

4. Datta Meghe Institute of Higher Education & Research (DU),Faculty of Engineering and Technology,Department of Biomedical Engineering,Wardha,Maharashtra,India,442001

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624684/10624740/10625069.pdf?arnumber=10625069

Reference23 articles.

1. An Extended RFM Model for Customer Behaviour and Demographic Analysis in Retail Industry

2. Clustering and Classification for Time Series Data in Visual Analytics: A Survey

3. Application of hierarchical cluster analysis in age segmentation for thermal comfort differentiation of elderly people in summer

4. An Effective and Adaptable K-means Algorithm for Big Data Cluster Analysis

5. NS-DBSCAN: A Density-Based Clustering Algorithm in Network Space