Based On The Examination Results Decision Tree Algorithm Analysis System

In the management of higher vocational institutions, especially in the management of student achievement in each of a large number of student achievement data, but the processing of such data still remain in a simple data backup, enquiries and simple statistical stage, and not on these results An in depth analysis of the data, find the teaching is conducive to the work of the information, this is the teaching of information a waste of resources. Data mining technology to solve this problem is a viable and effective method. Data Mining is an emerging discipline on the brink, after more than 10 years of efforts, data mining in many areas on a wide range of applications.This article focuses on the classification of data mining algorithms, the decision making ID3 algorithm, C4.5 algorithm theory carried out a detailed description and analysis, commonly used by the various classification algorithm the comparative study, summarized the various classification algorithm the strengths and weaknesses, The option of using C4.5 decision tree algorithm provides a basis. C4.5 algorithm for calculating the volume of the shortcomings of the use of mathematical principle of equivalence infinitesimal made to improve the C4.5 algorithm, to reduce the amount of computation and improve the efficiency of the decision tree structure, and use the data sets in the UCI on C4. 5 algorithm and improving the algorithms were compared C4.5 test.In this paper, data mining in the decision tree algorithm in higher vocational student performance analysis of proposed decision tree algorithm in the Vocational College student performance analysis of applications, built a model of success; and student achievement in the database The results were data cleaning, data conversion, data reduction, and other data pre.processing, data handling of the vacancies, the value of properties will be for discrete analysis, data mining databases; improved use of the C4.5 decision tree algorithm decision tree, Produced by the decision tree classification rules to identify the impact of higher vocational student achievement the main factors for school management and teaching teachers targeted improving the quality of teaching is conducive to the data support the Vocational College of Computer Application Technology courses Set up a simple system to explore.