Parallel Data Mining Algorithm Application and Evaluation of College Counselors' Psychological Guidance Ability

Abstract

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.