Earticle

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

키워드

저자

• Tang Qiang [ China west normal university, Nanchong, Sichuan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605