원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.9 No.12
2016.12
pp.203-216
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In the paper, with the introduction of data mining algorithm of the classification in detail, and then combining the classification algorithm and incremental learning technology, an incremental decision tree algorithm is proposed to solve the problem of incremental learning and analysis the experimental data for this algorithm. The paper used ID3 and C4.5 algorithm for detailed research. According to two algorithms, combining Bayesian classification algorithm’s incremental learning characteristic, the paper proposed an incremental decision tree algorithm , and by the analysis of experimental data. This algorithm can solve the incremental learning problem of the decision tree algorithm very well.
목차
Abstract
1. Introduction
2. Overview of Decision Tree Classification Algorithms
2.1 Decision Tree Construction Algorithm
2.2. Decision Tree Pruning Algorithm
2.3 ID3 Algorithm
2.4 Analysis of the Advantages and Disadvantages of ID3 Algorithm
3. Theoretical Foundation of Naive Bayesian Method
4. Naive Bias Classification Theory
5. Example of Application of Bias Theory
6. Incremental Learning
7. Implementation of Incremental Decision Tree Algorithm (HID)
7.1. Interface of Bayesian Classifier
7.2. Incremental Decision Tree Algorithm
8. Experimental Analysis and Results
9. Conclusion
References
1. Introduction
2. Overview of Decision Tree Classification Algorithms
2.1 Decision Tree Construction Algorithm
2.2. Decision Tree Pruning Algorithm
2.3 ID3 Algorithm
2.4 Analysis of the Advantages and Disadvantages of ID3 Algorithm
3. Theoretical Foundation of Naive Bayesian Method
4. Naive Bias Classification Theory
5. Example of Application of Bias Theory
6. Incremental Learning
7. Implementation of Incremental Decision Tree Algorithm (HID)
7.1. Interface of Bayesian Classifier
7.2. Incremental Decision Tree Algorithm
8. Experimental Analysis and Results
9. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보