Data Mining Applying To The System For Examination

Data mining involves an integration of techniques from database, artificial intelligence, machine learning, statistics, knowledge engineering, object-oriented method, information retrieval, high-performance computing and visualization. Data mining is a technique that aims to analyze and understand large source data and reveal knowledge hidden in the data. It has been viewed as an important evolution in information processing. During the past decade or over, the concepts and techniques on data mining have been presented, and some of them have been discussed in higher levels for the last few 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. Most experts consider it as the phase of wide discussion today. It still needs theoretic studies and algorithm exploring. Though some results have been achieved, more theoretic problems are kept in ongoing researches. In this paper we analysis the concept, arithmetic, technique and the process of Data Mining. Specially, anglicizing the arithmetic of association rule mining -Apriori and arithmetic of decision tree C4.5, then we do the applications to build the model about the system of Beijing Educational Examination Authority. With the model to analysis the data of examination and data of sign up examination by internet. With the model we can provide more information for the Beijing education department's decisions.