원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.8 No.10
2015.10
pp.31-40
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
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