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IJSTR >> Volume 8 - Issue 10, October 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



A Comparative Study On Students Placement Performance Using Data Mining Algorithms

[Full Text]

 

AUTHOR(S)

N. Premalatha, Dr. S. Sujatha

 

KEYWORDS

Accuracy, Classification, Educational Data Mining, Machine Learning, Placement, Prediction, Unemployment.

 

ABSTRACT

In recent days, the prediction of unemployment becomes a major and critical issue since it helps the government to take decision and policies that can improve the rate of employment. The prediction of unemployment offers various giants to learn about the upcoming trends related to economics. Forecasting of unemployment receives huge attention from many organizations, governments, research institutes and also research scholars. Many methods have been applied to predict/forecast students’ placement performance. This paper discusses the comparative analysis on students’ placement performance using different types of data mining algorithms and also describes the processes involved in the educational data mining.

 

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