Earticle

초록

영어

With the development of the Internet, enterprise database has accumulated a huge amount of business data; the previous data mining technology is difficult to meet the current technical ability. In cloud computing environment, resources are stored in a distributed form, which is more efficient. In this paper, the authors analyze the sports industry financing mechanism by using data mining technology. Different from the developed countries, China's sports industry is still in its infancy, and sports industry investment and financing is the key to achieve the rapid development. Based on the analysis, we find that China sports industry investment and financing market degree is low, Capital market is difficult to achieve effective allocation of resources, and the improper allocation of resources tends to delay the development of sports industry. On this basis, we put forward relevant policy recommendations.

목차

Abstract
 1. Introduction
 2. Data Mining and Support Vector Machine
  2.1. Data Mining under Computing Environment
  2.2. Support Vector Machine
 3. The Investment and Financing Mechanism of Sports Industry based on Data Mining
  3.1. Application of Data Mining in Sports Industry
  3.2. Status of Investment and Financing in Professional Sports Market
  3.3. Fitness Club Investment and Financing Situation
  3.4. Investment and Financing Situation of Sports Stadiums
 4. Reform of Investment and Financing Mechanism of Sports Industry
 5. Conclusions
 References

키워드

저자

• Hao Wang [ School of Physical Education and Sports Science,Qufu Normal University, Qufu City,China / School of Sport Social Science, Shandong Sport University,China ]
• Jinhai Sun [ College of physical education, Shandong University,China ] corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605