The Desing And Operation On The Data Mining Based Assistant Decision-making System In High School

With the improvement of information technology’s application in colleges anduniversities, the demand of information in many college departments, including all theschools, faculties, and teaching research office, is increasing in many aspects. Thecore strategic goal, of information demand is the comprehensive businessmanagement and optimization and to support the school’s’ management. Andaccording to this goal, it needs to transfer from professional database to thedecision-making of Education Technology Center. Therefore, through the planningand construction of auxiliary decision making system of education, colleges anduniversities can realize the management of education, science, research, admissions,employment information collection, integration, centralized storage and analysis. Andit can help the colleges and universities with their daily management anddecision-making by providing them with timely and effective information support,and act as a decision analysis tool for the leaders in schools, departments, andprofessional academic office. Currently, domestic auxiliary decision support system isfar from enough to meet the needs of users. So data mining based on universityteaching management is an important research subject.Based on the current research situation, the analysis of various data miningalgorithm and the model, this paper comes up with and finally realized a set of intactdata mining system model, which is based on the Web, applied to the auxiliarydecision support. The characteristics of the model is to base on of the three layerstructure; publish every function entity in the form of component; support toconfigure the adapter pattern realize system expansion and realize the expandingmining algorithm, optimization of mining results. And further more, the model definesa good interface for the second data mining.The main purposes of this thesis are as below,Studying on the technology of data mining, to be familiar with various ofdata mining algorithm. Working out the data model which matches the university’scharacteristic and make it into physical use.Studying the technology and method of data gathering. To design differentgathering strategies according to different systems.Studying on the association rules on the usage of achievement analysis of student,to analyze the factors which affect the student achievement.Digging and sorting the student employment data with decision-making tree C4.5algorithm, to find out the main factor which affects the student employment.To complete the general design, detailed design and system coding of Auxiliarydecision support system based on the theoretical study.