원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.9 No.10
2014.10
pp.209-222
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
As competition of Chinese securities industry becomes increasingly fierce, customer loyalty management has become the core elements of enterprise competition. Combining cross industry standard process for data mining (CRISP-DM) process model, flow visualization, this article adopts the mining method of large data to find the key factors to describe customer loyalty, and establishes customer loyalty prediction model of two dimensions, according to the model can effectively predict customer loyalty degree, support enterprise decision makers develop corresponding retention strategies.
목차
Abstract
1. Introduction
2. Background Knowledge
2.1. Customer Loyalty
2.2. Data Mining
2.3. Decision Tree and C5.0
3. Modeling Process
3.1. Business Understanding
3.2. Data Understanding
3.3. Data Preparation
3.4. Prediction Model of Customer Loyalty
4. Evaluation of the Model
4.1. Analysis on Model Test Result
4.2. The Assessment Results Result
5. Conclusions
References
1. Introduction
2. Background Knowledge
2.1. Customer Loyalty
2.2. Data Mining
2.3. Decision Tree and C5.0
3. Modeling Process
3.1. Business Understanding
3.2. Data Understanding
3.3. Data Preparation
3.4. Prediction Model of Customer Loyalty
4. Evaluation of the Model
4.1. Analysis on Model Test Result
4.2. The Assessment Results Result
5. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보