Data Mining Application In The Enrollment Information Processing System

With the development of database technology, popularity of network technology and updating computer hardware, the capability of collecting data was improved rapidly, and they have accumulated lots of data that contain much knowledge, models and rules. For obtaining these information to direct our production and living, we put forward the Data Mining Technology . The data mining is also called knowledge discovering that is procedure of distilling available information and knowledge from mass , incomplete and random data . The data mining had been applied and studied in these years, and it has been applied in many domains successfully, such as business, finance and medical treatment.In recent years our country emphasized the development of the professional education, especially the middle professional education, we are facing challenge in the middle professional education that we had not encountered before. How to improve competition is an intractable question in the middle professional schools. In order to analysis and resolve these questions and find the potential information, it can't meet our need already only to depend on the traditional technology of mathematical analysis and statistics. So we want to offer supports to decision for all the education commissions and the leaders of the middle professional school only by means of the data mining technology such as association and classification.Based on the research background of the data mining technology and the arithmetic about the data mining of association rules and the creation of decision tree, this dissertation has finished the following works:1 , The research and discussing of the data mining about basic knowledge . the mining objection and finable mode on the base of elementary concept are discussed and concluded detailedly. in addition, some regular data mining technology is introduced and analysised.2, the data mining of association rules and the creation of decision tree are discussed detailedly in the third and fourth departs , association rules and the creation of decision tree are introduced detailedly and so on classical arithmeticand basic ideas are discussed and concluded detailedly and we also discuss the difference in all kinds of arithmetic and material procedure in the data mining technology.3> In order to meeting realistic needs we put forward processing system about recruiting-students information. In the fifth departs it introduces the functional parts of the system and their roles , meanwhile it analysis the application of data mining technology in the system.4> Introduce the applications of association rules and decision tree arithmetic in solicit students the information processing system detailedly. Chapter 6 introduces the association rules to scoop out the concrete application in the system, and to scoop out the sub- system flow chart, went deep in to inquiry into two kinds of datas to scoop out to carry out the process technically by solid example. This part of contents are the cores of that sizes, is also a creative place of this text. According to the association rules and the calculate way of mature decision tree theories, pass the application to the rule is behind the stipulation of the piece, endly get is ideal and has the rule and conclusions of the net value, thus carrying out the data mining to scoop out the technique in solicit students the information processing system of application.