원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.9 No.6
2016.06
pp.1-8
피인용수 : 0건 (자료제공 : 네이버학술정보)
목차
Abstract
1. Introduction
2. Overview of Data Mining Technology
3. The Characteristics of Data Prediction
3.1. Real Samples Rather than Sampling
3.2. Efficient Rather than Accurate
3.3. Relevancy Rather than Causality
4. Data Prediction Access Based on Data Mining Combination Model
4.1. Principles and Methods
4.2. In Empirical Analysis
5. Discussions
References
1. Introduction
2. Overview of Data Mining Technology
3. The Characteristics of Data Prediction
3.1. Real Samples Rather than Sampling
3.2. Efficient Rather than Accurate
3.3. Relevancy Rather than Causality
4. Data Prediction Access Based on Data Mining Combination Model
4.1. Principles and Methods
4.2. In Empirical Analysis
5. Discussions
References
저자정보
참고문헌
자료제공 : 네이버학술정보