원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.9 No.11
2016.11
pp.163-174
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
With the rapid development of big data, cloud computing, the size of the computer processing data is huge. Data mining is the process of revealing a new relationship, trend and pattern by a careful analysis of a large number of data. In this paper, the author analyzes data mining algorithm and the effectiveness of mathematics classroom teaching based on support vector machine. Through data analysis, the results show that teachers are more inclined to teach and ask questions, while students prefer to explore cooperative learning methods. In the process of classroom teaching, teachers should arouse students' enthusiasm and initiative, and further improve the efficiency of classroom teaching.
목차
Abstract
1. Introduction
2. Data Mining Algorithmand Support Vector Machine
2.1. Data Mining
2.2. Support Vector Machine
3. Research Design
3.1. Questionnaire
3.2. Data analysis
3.3. Result Analysis
4. Influencing Factors and Improving Strategies of Mathematics Teaching Effectiveness
4.1. Factors Affecting the Effectiveness of Mathematics Teaching
4.2. Strategies for Effective Classroom Teaching
5. Conclusions
References
1. Introduction
2. Data Mining Algorithmand Support Vector Machine
2.1. Data Mining
2.2. Support Vector Machine
3. Research Design
3.1. Questionnaire
3.2. Data analysis
3.3. Result Analysis
4. Influencing Factors and Improving Strategies of Mathematics Teaching Effectiveness
4.1. Factors Affecting the Effectiveness of Mathematics Teaching
4.2. Strategies for Effective Classroom Teaching
5. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보