Statistical Analysis Using Data Mining Techniques

Research Article
Jay Mehta., Avadhut Mainkar and Seema Yadav
DOI: 
xxx-xxxxx-xxxx
Subject: 
science
KeyWords: 
Statistics, classification algorithms, Data Mining techniques, predictory techniques, databases.
Abstract: 

This paper is based on web based application which is used to predict and suggest different institutes of engineering for admission just by providing basic information of the aspiring students. Engineering is evergreen, advanced and one of the fastest growing fields of technology and education background. Students facing many problems to decide which branch to choose, which institute is better for particular branch and to search latest updated information of colleges. This system is providing all the important information to students by performing statistical analysis on the updated information of many colleges from different regions of Maharashtra. Clustering and classification algorithms are used to make process more reliable in flexible. By using this system students get to know about pass year cutoffs of colleges, placement information, important details about scholarships etc. Recommendation system is also very helpful to find out best fit college according to student academic details.