Research On The Evaluation System Of Vocational Quality Cultivation In The Optimization Of Computer Network Technology In Vocational School

Data mining is a technology that through a special algorithm to analyse database in order to find some kind of hidden information between large amounts of data, and data mining is to find the relevance between these information. At present, from the analysis of consumer habits, data mining, data mining, data mining applications have penetrated into every acpect of life.Since 2011,Beijing information management School has construct the computer network professional literacy training system. Evaluation of students’ professional quality in the system constitutes by two parts, the teacher evaluation and enterprise evaluation. The evaluation system,which determined by the teacher, can not be timely and dynamic adjustment of enterprise needs. The current evaluation system can evaluate and make a simple analysis students’ achivement. But more information is hidden behind these data has not been excavated, in order to make the school’s professional accomplishment evaluation system can better play a role, must carry on the deeper research on student evaluation of teacher evaluation and enterprise evaluation part of the data.Taking Beijing Information Management School as an example, this paper carries out the research on data mining technology. Using clustering algorithm to the school professional quality evaluation of in-depth analysis and research. On the basis of this, the school established a set of specialized professional quality evaluation model. Using the model of student evaluation data to compare with enterprise evaluation data, eventually found out the relationship between them, in order to understand the enterprise specific requirements for students’ literacy training level, and to meet the requirements of the cultivation of students’ professional quality and the training requirements of the professional needs of talents.Using association rules of professional quality training data quality for data mining to help schools find the training quality of key factors, for Occupational Literacy training to provide more accurate theoretical basis.