• A SUMATHI
• Dr.N.SENGOTTAIYAN

In the recent years, many research works have been carried out in order to predict the students’ performance for their knowledge evaluation, students’ weakness and the total number of failures in the end semester examination. The performance of a particular student depends upon various factors existing in the society. When all the factors are analyzed, a clear picture can be given to improve the performance of all the students. In this paper, issues related to women’s education creating impact on continuing or discontinuing the course has been analyzed using the modified k-means algorithm with the help of the data set created.

Decision making, Educational Data Mining, Modified K-Means algorithm, Prediction Data Set

"Educational Data Mining: An Intelligent Approach using Modified K-Means Clustering ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.522-527, July-2018, Available :http://www.jetir.org/papers/JETIR1807082.pdf

"Educational Data Mining: An Intelligent Approach using Modified K-Means Clustering ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp522-527, July-2018, Available at : http://www.jetir.org/papers/JETIR1807082.pdf