Apply Hybrid Machine Learning Algorithms for Consumer Churn Forecast — A Case of Automotive Industry

碩士 === 輔仁大學 === 資訊管理學系碩士在職專班 === 107 === This study is based on the fact that automotive products are high-priced and long-term durable goods, which will reduce customer churn by understanding and understanding customer consumption behavior, thereby improving customer relationships and car sales pro...

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Bibliographic Details
Main Authors: CHANG, YU-SHUO, 張育碩
Other Authors: LIN, WEN-SHIU
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/pt236m