Data Mining Theory And Its Application In Students' Comprehensive Evaluation

This paper mainly focuses on the application of data mining technology combined with the realization of the comprehensive evaluation of students and its principles,mainly on the dataWith the continuous integration and application of computer technology in all sectors of the society,the status of data warehouse is becoming more and more important.It can carry out a large number of data has been integrated and pre processed,and it can also share data with other data.Because of the continuous improvement of data processing mechanism in data warehouse and the existence of available information processing facilities,the research based on large data warehouse and data mining technology has also received unprecedented attention.With the rapid development of the national institutions of higher learning,the increase in the number of students has brought many new problems to the management of students.This requires us to solve this problem through modern advanced technical means and make use of a set of scientific and perfect student management information systems for intelligent management.This paper mainly focuses on the application of data mining technology and the principle of students' comprehensive evaluation.It mainly analyzes the principle understanding and mining principle of data mining related concepts and definitions.Data mining usually refers to hiding and predicting data in a large number of basic data.For data clustering analysis,decision tree,OLAP analysis,data warehouse,these methods do deep research on mining technology.In data mining technology,data acquisition,data algorithm analysis,statistical classification and research plan are included.Its goal is to predict the direction of future data change and the degree of data change in the known data based on data trend or dynamic graph analysis.There are many aspects of data mining technology in knowledge discovery.It is potential for the database to be effective,and it is worth exploring the non trivial process of the pattern.For knowledge discovery,it is not limited to data processing of database,but for data prediction of any data warehouse.The decision tree in this paper is mainly embodied in the decision tree algorithm commonly used in the data structure,which not only reflects the correctness of the algorithm thought,but also can test the feasibility of the algorithm.This paper mainly includes two parts,one is the comparison of database,data warehouse and OLAP online processing,and analyzes the important role and support principle of data warehouse to student comprehensive evaluation system.The two is to build and realize the comprehensive evaluation system of students,mainly using the snowflake model,the three-dimensional data analysis model for the data mining of the system,through quantitative and qualitative analysis to formulate evaluation methods.On this basis,combined with the characteristics of the college,the comprehensive quality evaluation system of students is formulated to reduce the impact of the noise data on the results,and the intellectual data account for the influence of the irrational factors of the absolute status.At the same time,a multidimensional online comprehensive analysis and mining model of student comprehensive evaluation is established,which has realized the application in comprehensive evaluation of higher vocational students.Finally,the decision tree classification of data mining is applied in student comprehensive evaluation and vocational recommendation.