Research And Applications, Based On Data Classification And Association Rule Mining

With the development of computer science and technology people come to realize the value of softwares. In the present times of knowledge explosion, people need urgently a method to locate the useful information in the vast amount of data provided by computer. And thus data mining comes in its way in such a situation. Over the past ten years, great progress has been made in the research of data mining. The utilization of various data mining softwares has greatly promoted the people's ability to command and dispose of the computer information and thus has brought about a good benefit.Compared with the traditional approach of statistics, data mining technology concerns multi-subjects and congregates the research results of AI, model identification, database, computer study and the information management system. Data mining is a newly-established frontier subject. Data mining is being used extensively and its future application is bright.Based on the knowledge discovery in database this paper presents a introduction of KDD , an concept of data mining and a research into the technical approach and fields of application of data mining . Based on the present research work, this paper is devoted to the idea of presenting the segregation amount by usingthe whole amount . Integral square is adopted to indicate the distance between two units. And the above-stated method is used to analyze the students' data. And some useful information is thus obtained. So it is instructive to teaching at colleges.This paper is mainly composed of the following few result:1. Putting forward a new idea of presenting the segregation amount by using the whole amount .2. Based on the integral square,the paper Puts forward a new distance define method , and advanced the approach of data classification .3. Based on classification, Mining the association rules of oneclassification .