Earticle

초록

영어

Support vector machine (SVM) is an important algorithm in data mining; it can transform the nonlinear classification problem into a linear classification problem by increasing the dimension of the data. The author points out the shortcomings of the traditional data analysis methods, and puts forward the method of complex simulation data analysis based on distributed SVM data mining algorithm. In the empirical part, through construct the evaluation index system of the school sports balanced development mode, the results show that the primary indicators of the sports balanced development are resource allocation(0.3774), school physical education process(0.2781), school physical education results(0.2450), and school sports social environment(0.1000).Overall, the balanced development of school physical education is a long and gradual process, sports evaluation index system also needs to be constantly updated and revised.

목차

Abstract
 1. Introduction
 2. Data Mining and Support Vector Machine (SVM)
  2.1. Structural Risk Minimization
  2.2. Structural Risk Minimization
  2.3. Support Vector Machine Model
 3. Sports Balanced Development Evaluation Index
  3.1. Index System
  3.2. Construction Principle
 4. Empirical Analysis
  4.1. Index Construction
  4.2. Parameter Test
  4.3. Sports Balanced Development Evaluation
 5. Conclusions
 References

키워드

저자

• Benyu Xi [ City College, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China ]
• Lina Gong [ Xi’an Physical Education University, Xi’an 710068, Shaanxi, 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