Teaching Analysis Based On The Clustering Rule Mining System Design And Implementation

With the developing of the data mining technology, data mining is widely used in many fields , such as engineering, medical, insurance and business . In the education field ,there are lots of teaching data and education data ,these data include teachers'teaching data , teachers'examinant data ,students'information data and so on . The conventional teaching analysis system just always compare these data by statistic or just queue these data from high to low or from low to high . All of these methods can not analysis the rules or can not get the"gold"from these data .With the reformation in education, we need to find the rules inside these education data to improve the teaching methods and education means.In order to discovery the knowledge inside the education data, we use data mining technology to analysis these data. The data clustering analysis is a very normal means to cluster the data into groups, to find the best similar in the same group. The k-means algorithms has been used in our data clustering system, and in order to increase the clustering accuracy, genetic algorithm has been used to optimize the process . we used Java implement the core clustering model ,and apply the system to analysis the education data ,and the result we got is anticipant .