A data mining based survey on student performance evaluation system

A variety of Data mining techniques are available for different kind of applications. One of the new research communities of application involves analyzing the Students performance. This attracting young field is named as Educational Data Mining (EDM). The structure of the curriculum also raises a very big impact about the development of student´s knowledge and their performance. Among the various data mining techniques, classification plays a vital role in Educational data mining. The foremost intention of this research is to traverse the data mining techniques which are used for the improvement of student´s performance and also identify the best suited structure of curriculum for the current environment. Particularly, this survey analyses about the use of classification algorithms ID3 and C4.5 for the student performance evaluation system.