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Attribute Selection Methods with Classification Techniques in Educational Data Mining to Predict Student’s Performance: A Survey

Priyanka D. Vaghasiya, Sahista Machchhar


In recent year, huge amount of data related to education and particularly of students are stored in Database. To deal with these much data research communities showing greatest interest in data mining in Educational field. The goal of any educational organization is to increase the academic performance of students and ultimately progress of institute. To extract knowledge hidden within the dataset by means of analytical method is not easy. So the data mining techniques helps to transform knowledge into some human understable form. This paper provides literature available for educational data mining, what are the attributes which may affect the student’s performance, how attribute selection methods are useful to select best attribute from available attributes, different data mining techniques used to know student’s academic performance.


Attribute Selection Methods, Data Mining, Educational Data Mining, Prediction.

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