Outlier and extreme values detection to evaluate students performance using data mining techniques
Prashant G Tandale, Anil T Gaikwad
Educational data mining is an emerging area that focuses on applying data mining tools and techniques to educationally related data. Data mining is considered as the most suited technology appropriate in giving additional insight for the different stake holders of an educational institution by discovering the hidden patterns, associations, and anomalies from educational data and acting as an active automated assistant in helping them for making better decisions on their educational activities. This paper tries to take review of work done so far in this area of educational data mining and one of the applications of data mining called “Outlier and Extreme Value Detection”.