Research On The Application Of Data Mining On Management Of Adult College

With the perfection of data mining techniques, it has been applied in many fields. The researchers in some common colleges applied it to the college management and got some valuable conclusions. Because of the difference of students'source, teaching modes, management methods and so on, the research results got from the common colleges can't be applied to the adult colleges directly. So, it is significant to research the students'source conditions, teaching evaluation records, examination results and so forth by means of data mining.Firstly, by means of decision tree classification algorithm ID3, the students' source condition in former years of Pingdingshan Institute of Education was analyzed, and the classification rules were generated. Research results indicate that the main student source of adult education colleges is the teachers who are young and having lower or middling income, so it is necessary for the adult education colleges to add new specialties and extend student source fields.Secondly, based on the Apriori algorithm of association rule, the teachers' teaching evaluation data was mined, and the strong association rules were got. Research results indicate that the students of the adult colleges are relatively mature, and the experienced teachers, the teachers with associate professor professional title and the teachers with master degree and abundant knowledge have good teaching effect.Lastly, the K average algorithm of cluster analysis was applied to cluster to the examination results, and the cluster centers and the number of cases in each cluster were obtained. Research results indicate that if the rates of excellence, good, middle, pass, and fail is subjected to normal distribution, it shows that the teaching effect is good and the students master the course well.