Earticle

초록

영어

With the development of network and big data technology, how to dig out the effective information from massive data is the problem that we are facing. Traditional data mining algorithms in the face of big data, it is powerless. With the ability of parallel computing, data is processed on several machines, so the efficiency of data processing will be greatly improved. In this paper, the author analyzes the parallel data mining algorithm application in the evaluation of college counselors' psychological guidance ability, and puts forward the strategies of improving the ability of college counselors' psychological guidance. Based on the statistical analysis, the result shows that there were no significant differences in gender, but in the context of communication, female were better than male. The male instructors are superior to female instructors in the understanding ability of the observation and diagnosis and the plan of action. Obviously, training is a very effective way to improve the ability of College Counselors' psychological counseling, and it should be promoted and applied.

목차

Abstract
 1. Introduction
 2. Data Mining and Collaborative Filtering Algorithm
  2.1. Data Mining
  2.2. Collaborative Filtering Algorithm
 3. Psychological Counseling Ability of Counselors
  3.1. Research Object
  3.2 The Difference of Counselors' Psychological Counseling Ability
 4. Enhance Psychological Counseling Strategies
  4.1. Enhance the Role Consciousness of the Counselors' Psychological Guidance
  4.2. The Learning and Training of the Ability of Psychological Counseling
  4.3. Strengthen the Counselor's Psychological Counseling Skills
 5. Conclusion
 References

키워드

저자

• Rui Yang [ School of Social Work, Chongqing City Management College, Chongqing 401331, 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