원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.9 No.6
2016.06
pp.257-264
피인용수 : 0건 (자료제공 : 네이버학술정보)
목차
Abstract
1. Introduction
2. Journals Reviewed
3. Introduction of Personalized Recommendation Based on Association Rules
3.1. Referral System
3.2. Recommended System Workflow
3.3. Basic Concepts of Sequential Association Rules Mining
3.4. Fundamental Algorithm
3.5. Algorithm Code and Instructions
4. The Application of Personalized Recommendation Based on TimeSeries Correlation Analysis in a Shopping Network
4.1. Data Interpretation
4.2. Algorithm Implementation Process
4.3. The Analysis of Result of Model
5. Conclusion
References
1. Introduction
2. Journals Reviewed
3. Introduction of Personalized Recommendation Based on Association Rules
3.1. Referral System
3.2. Recommended System Workflow
3.3. Basic Concepts of Sequential Association Rules Mining
3.4. Fundamental Algorithm
3.5. Algorithm Code and Instructions
4. The Application of Personalized Recommendation Based on TimeSeries Correlation Analysis in a Shopping Network
4.1. Data Interpretation
4.2. Algorithm Implementation Process
4.3. The Analysis of Result of Model
5. Conclusion
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보