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Preprocessing and Classification of Data Analysis in Institutional System using Weka

by Reena Thakur, A.r.mahajan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 6
Year of Publication: 2015
Authors: Reena Thakur, A.r.mahajan
10.5120/19668-1105

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 },
issue_date = { February 2015 },
volume = { 112 },
number = { 6 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 9-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number6/19668-1105/ },
doi = { 10.5120/19668-1105 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:48:42.722789+05:30
%A Reena Thakur
%A A.r.mahajan
%T Preprocessing and Classification of Data Analysis in Institutional System using Weka
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 6
%P 9-11
%D 2015
%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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Index Terms

Computer Science
Information Sciences

Keywords

Classification clustering weka data mining.

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