Application Of Data Mining Technology In The Medium Occupation School Moral Education Management Information System

Secondary vocational education is an important part of China’s high schooleducation, which is responsible to the training of hundreds of millions of high-qualityworkers, thus it is the important foundation of China’s economic and socialdevelopment. Morality education holds the key to vocational education. For a longtime, secondary vocational moral education problems were emphasized by schoolleaders and parents. Most secondary vocational schools stay in office paper stagewithout moral education management system, even though some schools are usingsecondary vocational moral education management system, yet they just use it forinformation input and student file management, only to replace the head teachers withcomputers to provide rapid statistics and timely feedback.In this thesis, in order to realize the embedded data mining technology in thesecondary vocational moral education management system, and explore the detailsand the designs of data mining module, this paper introduces the key technologyresearch and development in the process of practical decision----tree algorithm, andshow how it analyses the various factors influencing the students discipline, withproblems solved as follows: first, based on ordinary secondary vocational moraleducation management system, make full use of the schools of the present data togenerate the decision tree C4.5algorithm, then use a new decision tree pruningtechnology, which can effectively shield the confidence lower export rules, thusgreatly improve the effectiveness and accuracy of the rules of export, makes thedecision result more valuable.This research project will embed data mining technology in the secondaryvocational moral education management system, without any basic function change, itfinds out the relationship between various factors and provide a reference quickly andconveniently. With the application of data mining technology in the system, on theone hand, it can select the appropriate data mining technology in the process ofembedding. On the other hand, we can construct a secondary vocational moraleducation system scientifically by having a whole grasp of the process of design anddevelopment, thus raise the efficiency of the system.This thesis introduced demand based on the analysis of the secondary vocationalstudents’ moral education file information in details, using decision tree algorithm for data classification. During the study, through the comparison, comprehensive analysis,theoretical application, etc, build students’ various data selection, cleaning andconversion on the basis of the database, with summary and prospect of systemimplementation in the end.