Segmenting Retail Customers with an Enhanced RFM and a Hybrid Regression/Clustering Method-Reference-Cited by-同舟云学术

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Segmenting Retail Customers with an Enhanced RFM and a Hybrid Regression/Clustering Method

Published:2018-12 Issue: Volume: Page:
ISSN:
Container-title:2018 International Conference on Machine Learning and Data Engineering (iCMLDE)
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Author:

Yoseph Fahed,Heikkila Markku

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8613698/8613983/08614012.pdf?arnumber=8614012

Cited by 11 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. Customer Segmentation Based on E-Commerce using K-Mean Clustering;2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET);2023-11-23

2. Customer Segmentation in Food Retail Sector: An Approach from Customer Behavior and Product Association Rules;Communications in Computer and Information Science;2023

3. Hotel Customer Segmentation Using the Integrated Entropy-CRITIC Method and the 2T-RFMB Model;Marketing and Smart Technologies;2023

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

5. Applications of Machine Learning in Knowledge Management System: A Comprehensive Review;Journal of Information & Knowledge Management;2022-05-18

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