MATEC Web Conf.
Volume 228, 20182018 3rd International Conference on Circuits and Systems (CAS 2018)
|Number of page(s)||4|
|Section||Intelligent Computing and Information Processing|
|Published online||14 November 2018|
A Study on a Predictive Model of Customer Defection in a Hotel Reservation Website
Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
* Corresponding author: firstname.lastname@example.org
This paper examines a hotel reservation website’s customer defection. Applying statistic and data mining technology including logistic regression and random forests, we examine customer database to identify the attributes that affect customer attrition and develop a model of customer defection in the hotel reservation website. The empirical evaluation results showed the model has 78.9% accuracy, which suggest that the proposed churn prediction technique exhibits satisfactory predictive effectiveness.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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