RFM analysis for customer segmentation using feature generation and accelerated deep learning for prediction
Published: 25 August 2022| Version 1 | DOI: 10.17632/k2zj6xk63p.1
Contributors:
, Mohammad Hossein RezvaniDescription
In this project, we propose a feature generation method for customer segmentation using an online retail store dataset. Also, we perform a comparative cluster analysis between the proposed method and the traditional method with K-means. We show that among the top-7 classifiers reported in previous studies, Multi-layer Perceptron (MLP) is the best. Then, we use the Genetic Algorithm (GA) to improve the speed and accuracy of MLP during the prediction phase.
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Steps to reproduce
Please read the README file.
Institutions
Qazvin Islamic Azad University
Categories
Marketing, Data Science