Research Article
Preprocessing and Classification of Data Analysis in Institutional System using Weka
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 112 - Issue 6 |
| Published: February 2015 |
| Authors: Reena Thakur, A.R.Mahajan |
10.5120/19668-1105
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Reena Thakur, A.R.Mahajan . Preprocessing and Classification of Data Analysis in Institutional System using Weka. International Journal of Computer Applications. 112, 6 (February 2015), 9-11. DOI=10.5120/19668-1105
@article{ 10.5120/19668-1105,
author = { Reena Thakur,A.R.Mahajan },
title = { Preprocessing and Classification of Data Analysis in Institutional System using Weka },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 112 },
number = { 6 },
pages = { 9-11 },
doi = { 10.5120/19668-1105 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Reena Thakur
%A A.R.Mahajan
%T Preprocessing and Classification of Data Analysis in Institutional System using Weka%T
%J International Journal of Computer Applications
%V 112
%N 6
%P 9-11
%R 10.5120/19668-1105
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In today's world, an organization generates more information in a week than most people can read in a lifetime. It is humanly impossible to study, decipher, and interpret all that data to find useful information. By applying data mining techniques people can work on the extraction of hidden, historical and previously unknown large databases. In this paper we have used powerful data mining technology weka tool for the preprocessing, classification and analysis of institutional result of Computer science & engineering UG students. Here efficient information have been mined from the university result. Results show the analysis of marks, pass or fail, percentage of attendance etc.
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