The Application Of Data Mining On The Analysis Of Students' Achievement

Nowadays the society is full of all kinds of information. With the rapid development of science and technology, more and more people come to realize the value of information. It becomes more and more important to make the best use of the information. Therefore, people try to abstract useful information from a vast amount of data, and thus Data Mining comes in its way in such a situation. The technology of Data Mining is effective means for abstracting useful information from the vast data. It provides a convenient way for obtaining the interesting and useful information from a vast amount of data to people. It concerns multiple subjects, involving an integration of techniques from database, artificial intelligence, machine learning, neural network, statistics, pattern distinguishing, knowledge engineering, knowledge obtaining, information retrieval, high-performance computing and visualization.Data Mining is a newly-established frontier subject. During the past decade or so, many new concepts and techniques on Data Mining have been presented and some of them have been discussed in higher levels for the recent years. Like the other new techniques, however, Data Mining must develop gradually from concept creation, accepted importance, wide discussion, and few usage attempts to large applications. Judging from the current situation, most scholars believe that the study of data mining is still in the stage of extensive research and exploration, it needs to be practiced in the basic theory and the application model. The research of Data Mining has reached significant achievement and has been applied successfully in many areas.DM has been widely applied to commerce, banking, enterprise production and markets, while there has been comparatively less application in education. Schools of higher education have accumulated a wealth of teaching and administrating data which haven't been effectively made use of. They are like a treasure house to be exploited. This makes some factors ignored which greatly affect the teaching result. The data application of students'information and results remains a low level of simple preparation and inquiry. All of this is caused by trivial jobs, the dispersal of materials, traditional manual operation and low efficiency, etc. In recent years, with the extension of enrollment in universities and colleges, the increasing number of students has brought great trouble in teaching and administrating. Therefore, traditional teaching and administrating methods can't be suitable for the social development. Nowadays quite a lot of university researchers have come to apply DM technology to teaching and administration. E.g. DM has been applied to students'information administration, the teaching evaluation of high education, the analysis of students'results and examination system. DM is playing a guiding role in...