Open AccessImpact of Data Mining Technique in Education Institutions
Author(s) -
Ms. Rashmi Khalatkar Mr. Bhushan Bandre
Publication year - 2015
Publication title -
international journal of new practices in management and engineering
Language(s) - English
Resource type - Journals
ISSN - 2250-0839
DOI - 10.17762/ijnpme.v4i02.35
Subject(s) - computer science , excellence , decision tree , data mining , process (computing) , educational data mining , data science , decision tree learning , institution , machine learning , political science , law , operating system
Major decision making process using large amount of data can be done by various techniques using data mining. In education sectors various data mining techniques are implemented to analyze the student’s data from the admission process itself. Due to large number of educational institution in India, excellence becomes a major parameter for the institutions to grow and with stand. Nowadays education institutions use data mining techniques to show their excellence. The main objective of this work to present an analysis of individual semester wise results of engineering college students using different techniques of data mining. Here we used different classification algorithms like decision tree, rule based, function based and Bayesian algorithms to analyze the semester results and comparison is made by considering parameters like accuracy and error rate. Our output shows the most suited algorithm for analyzing data in educational institutions.