Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 8 Issue 9
Expert System for Student Placement Prediction
Krishna Gandhi, Aadesh Dalvi, Aniket Walse, Sachin Bhoite
10.7753/IJCATR0809.1011
keywords : Data Mining, Educational Data Mining, Expertise system, Statistical model, Data pre-processing, Feature selection.
Data mining is a process of extracting and identifying previously unknown and potentially useful information or pattern from large amount of data using different methods and techniques. Data mining in a domain of education is known as Educational data mining (EDM). This paper discusses about an expertise system which can used as student placement prediction system. A statistical model is applied on a reputed college’s past data after data pre-processing and feature selection. This model can be used to predict the percentage of chances of a student getting selected in campus placement. It will help students evaluating themselves and identifying which skills are essential.
@artical{k892019ijcatr08091011,
Title = "Expert System for Student Placement Prediction",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "8",
Issue ="9",
Pages ="389 - 393",
Year = "2019",
Authors ="Krishna Gandhi, Aadesh Dalvi, Aniket Walse, Sachin Bhoite"}
.