E-Commerce Customer Churn Prediction By Gradient Boosted Trees

Published: Oct 29, 2020
Abstract
The amount of data stored daily is increasing at a specific rate. E-commerce services are one of the areas where new knowledge is gathered on a daily basis. Therefore, it seems necessary to use data mining techniques in this field. This article aims to gain insight into a data set provided by the most important online food ordering service in Tehran, Iran. Data analysis can assist in discovering the causes of customer churn and also employ...
Paper Details
Title
E-Commerce Customer Churn Prediction By Gradient Boosted Trees
Published Date
Oct 29, 2020
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