• Sumit Kumar
• Dr. Tryambak Hiwarkar

Educational Data Mining shortly known as (EDM) is emerging field to explore the data from various educational contexts. It provides inherent knowledge about imparting the education, which is used to enhance the quality of teaching and learning. Effective planning can provide personalized education. Educational sector produces data in large amount that is too voluminous and complex to understand. Data mining searches through the large amount of dynamically generated data to present users with the useful and understandable patterns and trends. It has the power to use the raw data effectively which has been produced by universities, to draw the hidden patterns and the relationships among the attributes that are used in predicting the student performance, their behavior effectively. This research compares various techniques of DM and tries to find the most efficient technique among them.

Wireless sensor network, clustering, style, styling, insert (key words)

"Survey on Educational Data Mining using Various Approaches of Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.589-594, April-2019, Available :http://www.jetir.org/papers/JETIR1904H96.pdf

"Survey on Educational Data Mining using Various Approaches of Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp589-594, April-2019, Available at : http://www.jetir.org/papers/JETIR1904H96.pdf