A Prediction of Customer Segmentation using Random Forest in RapidMiner-Reference-Cited by-同舟云学术

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A Prediction of Customer Segmentation using Random Forest in RapidMiner

Published:2023-12-13 Issue: Volume:4 Page:33-38
ISSN:
Container-title:2023 IEEE 21st Student Conference on Research and Development (SCOReD)
language:
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Author:

Abdullahi Akibu Mahmoud¹,Htet Sai Ahkar¹,Naing Nyi Nyi Nay¹,Hossain Md Shakil¹,Ismail Shahrinaz²,Zaaba Mohd Ariff Majmi³

Affiliation:

1. Albukhary International University,School of Computing and Informatics,Alor Setar,Malaysia

2. Asia Pacific University of Technology & Innovation,School of Technology,Kuala Lumpur,Malaysia

3. Malaysian Institute of Information Technology, Universiti Kuala Lumpur,Kuala Lumpur,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10562378/10563214/10563451.pdf?arnumber=10563451

Reference18 articles.

1. Interpretable machine learning approach in estimating traffic volume on low-volume roadways

2. AI Random Forest in Marketing: Enhancing Customer Segmentation and Targeting;Skrok;ts2 Space,2023

3. Evolution of Customer Segmentation in the Era of Big Data

4. Customer Segmentation;Vetrivel;(2020) Distributed by Kaggle

5. Segmenting e-Commerce Customer through Data Mining Techniques

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