• Sumaiya Ibrahim Siddique
• Payal Chotaliya
• Priya Dubey
• Devika Rani Roy

Student progression database for tracking students of higher education, passouts and dropouts. In this paper, we discuss Data Mining and its application in Higher Secondary Directorate of Assam, as it is problem of Government of Assam.This experiment covers attributes like School Type, Candidate Type, Study Type, Districts, etc. These attribute values, we are using to analyse the result of Higher Secondary Examination. This will improve the performance and data processing speed of Higher Education Directorate. The paper demonstrates the application of Data Mining in Higher Secondary Examination result. This will help further research and will improvise the activity of Higher Secondary Directorate.

Data Classification, Data Mining, Examination Result Analysis, Higher Secondary Directorate

"Central Database of Passout and Dropout Students in Higher Universities", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.679-684, April-2019, Available :http://www.jetir.org/papers/JETIR1904094.pdf

"Central Database of Passout and Dropout Students in Higher Universities", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp679-684, April-2019, Available at : http://www.jetir.org/papers/JETIR1904094.pdf