Achieving Market Segmentation From B2B Insurance Client Data Using RFM & K-Means Algorithm-Reference-Cited by-同舟云学术

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Achieving Market Segmentation From B2B Insurance Client Data Using RFM & K-Means Algorithm

Published:2022-03-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES)
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Author:

Kumar Srijith J¹,Oommen Philip Abin¹

Affiliation:

1. Toch Institute Of Science & Technology,Computer Science & Engineering,Ernakulam,Kerala,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9774032/9773333/09774051.pdf?arnumber=9774051

Reference20 articles.

1. Optimal Selection for Direct Mail

2. Thoughts on RFM scoring

3. Research on customer segmentation model by clustering

4. Intelligent profitable customers segmentation system based on business intelligence tools

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on the Classification of E-Commerce Users Based on RFM Model and K-Means Algorithm;2023 IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE);2023-12-29

2. New RFI Model for Behavioral Audience Segmentation in Wi-Fi Advertising System;Future Internet;2023-10-26

3. A Study of Customer Segmentation Based on RFM Analysis and K-Means;International Conference on Innovative Computing and Communications;2023-10-26

4. Sorting Center Value Identification of “Internet + Recycling” Based on Transfer Clustering;Sensors;2022-10-08

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