Application And Complementation Of Data Mining Algorithm In Educational Course Selection System

The paper describe the basic principles and application of the data mining technology firstly, introduce the basic task and function and describe the implementation steps of the data mining process and the selection and application of he data mining algorithm in detail. Through the basic understanding for the knowledge of mining technology, master the basic architecture of data mining system. This paper briefly introduces the current knowledge analysis algorithm(Apriori algorithm and Fp-Growth algorithm), and described the basic principles of the algorithm and their respective advantages, emphasize on the analysis and Research on algorithm.Through the accumulation of experience that association rule mining algorithm based on this purpose, present the improved algorithm based on association rules discovery, and make use of actual test data source authentication by the improved algorithm to test practical value.Based on the data mining on the basis of the research of domestic and foreign, the thesis combined with the educational administration management system which is popular in the current domestic market and proposed the student elective system design process of data mining association rules. The data mining technology is introduced to the online course selection system, provide the data of college teaching management and effective analysis of environment, and assist teaching management departments to formulate effective teaching decision-making.The main work and innovations is introducing data analysis environment to the elective system, so as to realize the effective organization and management of the selection data, get the outstanding quality information to support teaching Organizer to make decision of Teaching and better understand the learning needs of students and improve academic subjects setting scheme, optimizating teaching quality.