Earticle

초록

영어

Business intelligence approach is adopted for data mining analysis on the customer transaction data and basic customer information of securities companies. Decision tree algorithm is used to create the customer loss warning model, which is then used to analyze and design the securities data mining system. This system based on Weka source code, realized by JSP language and takes the classification analysis in the business intelligent core technology as the core algorithm. Analyzing this system can assist to mine the customers with potential loss trend and help establish specific detainment strategy to prevent great loss due to customer loss.

목차

Abstract
 1. Introduction
 2. Background Knowledge
  2.1. Decision Tree
  2.2. Main Algorithm of ID3
  2.3. C4.5
 3. Modeling Process
  3.1. Data Understanding
  3.2. Data Cleaning
  3.3. Modeling
 4. Model Assessment
 5. Modeling Application
 6. System Design and Implementation
  6.1. Development Environment
  6.2. Development Process
  6.3. Runtime Environment
  6.4. System Function Testing
 7. Conclusions
 Acknowledgements
 References

키워드

저자

• Yuan Wang [ Jimei University, Xiamen 361021, China ]
• Yihua Zhang [ Jimei University, Xiamen 361021, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605