The Research of ISP Customer Churn Prediction Model
碩士 === 銘傳大學 === 資訊管理學系碩士在職專班 === 92 === This research uses four constructs with 14 variables to build a customer churn prediction model. The constructs are customer classification, customer satisfaction, customer loyalty, and service quality. At first, samples are collected through eliminating inco...
Main Authors: | Yi-Fan Hsieh, 謝逸凡 |
---|---|
Other Authors: | 作者未提供 |
Format: | Others |
Language: | zh-TW |
Published: |
2004
|
Online Access: | http://ndltd.ncl.edu.tw/handle/r5w28g |
Similar Items
-
Customer Churning Factors in Broadband ISP Industry
by: Shu-Ching Wang, et al.
Published: (2004) -
Integrating Classification and Clustering Techniques for Customer Churn Prediction in Logistics Industry
by: Yi-Cheng Hsieh, et al.
Published: (2013) -
Customer Churn Prediction in Virtual Worlds
by: Chen, Po-Yu, et al.
Published: (2013) -
Binary Classification for Predicting Customer Churn
by: Axén, Maja, et al.
Published: (2020) -
Hierarchical Neural Regression Models for Customer Churn Prediction
by: Golshan Mohammadi, et al.
Published: (2013-01-01)