Research On Application Of Frequent Itemset Mining Algorithm In The Evaluation System Of Teachers In Higher Vocational Colleges

With the fast development of the information, computer and Internet are everywhere today. As a new industry, data mining has been widely applied to various fields of society.Because data mining is still in its primary stage in China, it will have a broad application future and spreading value. The application of data mining in the field of education,especially in the field of vocational education, is still in a relatively backward state, so there are a lot of valuable data for the researchers to develop.The article mainly introduces some professional theoretical knowledge about the data mining, association rules and frequent itemsets, frequent itemsets mining algorithm---Apriori, is also concluded. It optimizes the deficiency of the Apriori and puts forward two kinds of improved algorithms--- Apriori-1 and Apriori-2. The article makes a study on the Apriori application to evaluation system of teachers in higher vocational colleges according to the reality of Liao Yuan Vocational Technical College.The work of this paper mainly includes the following:(1) Consult relevant materials and read extensively. In order to reserve basic knowledge for further study on the frequent itemsets mining algorithm application to the evaluation system of teachers in vocational colleges, the article sorts out some theoretical knowledge of data mining, association rules and frequent itemsets, it also illustrates the significance of data mining.(2) Put forward Apriori-1 and Apriori-2 on the basis of the analysis of the Apriori algorithm and point out their advantages and disadvantages. The two Apriori algorithms can shorten the working period by using their own methods and has verified the improvement of the performance of the optimization algorithm through experiments. Apriori-1 adopts the method of reducing the frequency of the transactional database scanning., while Apriori-2 reducing the size of transactional data(3) Use the data of the evaluation system of teachers, educational administration management system and personnel management system in Liao Yuan Vocational Technical College as data sources;Data sources use Client/Server mode, SQL Serve in background database, VB language in front desk database and optimized algorithm---Apriori-1 for data mining.(4) Illustrate in detail the whole process of the data mining of the evaluation system of teachers by putting Apriori-1 into the use of data cleaning, data conversion, properties reduction, data mining, and the results analysis. The practical application value of the frequent itemsets mining algorithms inhighervocational colleges is reflected.This article applies frequent itemsets mining algorithm---Apriori to teaching evaluation and also carries on the data mining for the teaching evaluation data. It aims tofind out what effects different teachers will have, and help the teaching management department do its work well, and eventually improve the quality of teaching.