Earticle

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

키워드

저자

• Yihua Zhang [ School of Business Administration, Jimei University, Xiamen 361021, China ]
• Yuan Wang [ School of Business Administration, Jimei University, Xiamen 361021, China ]
• Chunfang He [ School of Business Administration, Jimei University, Xiamen 361021, China ]
• TingTing Yang [ School of Business Administration, Jimei University, Xiamen 361021, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605