Application Research Of Enrollment Management Based On Apriori Algorithm

The effect of enrollment expansion in recent years along with the decline in the numberof students in college and universities, the enrollment of Higher Vocational Institutesbecomes increasingly difficult. The traditional way of enrollment many mainly depends onprior experience without targeting certain object, which will not expand enrollmentinformation. How to use the resources the school enrollment information existing in highervocational colleges, to make the right decisions in terms of enrollment propaganda,recruitment plans, student selection, to improve the examinee registration rate, are animportant task for higher vocational colleges.Using Apriori algorithm to association rules based on data mining technology,this paperanalyzes the history data of a vocational college enrollment system,finding out the latentfactors and rules of enrollment of higher education institutions, to guide the students inHigher Vocational colleges. The main work of this paper are as follows:Thorough analysis the classical Apriori algorithm of association rules in data, and Apriorialgorithm for database problem of multiple scanning in the generation of frequentitemsets,this paper improves algorithm. The improved algorithm adds an attribute for eachtransaction in the database listed, which records transaction contains item number. In thecalculation of frequent N itemsets, firstly,this paper compares the attribute values and the sizeof the N.If less than N, transaction will be deleted from transaction database. the methodreduces the number of scanning transactions, improve the efficiency of generating frequentitemsets. At the same time for the user perceptual mining project, in the generation of frequentsets, this paper cuts off non items of interest rules, reduces the number of generated frequentitemsets, reduces time of data ananlysis.This paper uses the improved Apriori algorithm to analyze the history data of a highervocational college students. First of all, this paper pretreats the historical data of highervocational colleges for attribute selection, data conversion. Then, using the improved Apriorialgorithm,this paper analyzes association rules on the preprocessed data, and gives the result.Lastly, this paper analyzes part of analysis results, and puts forward some rational suggestionson enrollment.