Analysis of Student's Data using Rapid Miner

Sheena Angra; Sachin Ahuja

doi:10.15415/jotitt.2016.42007

Authors

Sheena Angra Ph.D Scholar, Chitkara University, India
Sachin Ahuja Associate Director, CURIN, Chitkara University, India

DOI:

https://doi.org/10.15415/jotitt.2016.42007

Keywords:

Educational Data Mining, Data Mining, EDM Objectives, Rapid Miner, EDM data and Stakeholders

Abstract

Data mining offers a new advance to data analysis using techniques based on machine learning, together with the conventional methods collectively known as educational data mining (EDM). Educational Data Mining has turned up as an interesting and useful research area for finding methods to improve quality of education and to identify various patterns in educational settings. It is useful in extracting information of students, teachers, courses, administrators from educational institutes such as schools/ colleges/universities and helps to suggest interesting learning experiences to various stakeholders. This paper focuses on the applications of data mining in the field of education and implementation of three widely used data mining techniques using Rapid Miner on the data collected through a survey.

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