RFM analysis for customer segmentation using feature generation and accelerated deep learning for prediction

Description

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.

Steps to reproduce

Please read the README file.

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