Use of Data Mining techniques on Teaching Language in Higher Education Department

Data mining is characterized by tools that deal with large amounts of data with statistical precision being less important than speed. With hundreds of thousands of data points, statistical significance is not really a very big issue and is certainly not equivalent to practical significance. In contrast, traditional statistics courses in Colleges settings deal with very carefully collected data from designed experiments or careful observational studies. From ancient period in India, educational institution embarked to use class room teaching. Where a teacher explains the material and students understand and learn the lesson. There is no absolute scale for measuring knowledge but examination score is one scale which shows the performance indicator of students. So it is important that appropriate material is taught but it is vital that while teaching which language is chosen, class notes must be prepared and attendance. This study analyses the impact of language on the presence of students in class room. The main idea is to find out the support, confidence and interestingness level for appropriate language and attendance in the classroom. For this purpose association rule is used.