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An Analysis on Finding the Influencing Factors of Preventing the Employment among the Educated Women using Data Mining Techniques

by S.dhivya, S. Prakasam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 101 - Number 7
Year of Publication: 2014
Authors: S.dhivya, S. Prakasam
10.5120/17703-8696

S.dhivya, S. Prakasam . An Analysis on Finding the Influencing Factors of Preventing the Employment among the Educated Women using Data Mining Techniques. International Journal of Computer Applications. 101, 7 ( September 2014), 46-50. DOI=10.5120/17703-8696

@article{ 10.5120/17703-8696,
author = { S.dhivya, S. Prakasam },
title = { An Analysis on Finding the Influencing Factors of Preventing the Employment among the Educated Women using Data Mining Techniques },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 101 },
number = { 7 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 46-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume101/number7/17703-8696/ },
doi = { 10.5120/17703-8696 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:31:05.902344+05:30
%A S.dhivya
%A S. Prakasam
%T An Analysis on Finding the Influencing Factors of Preventing the Employment among the Educated Women using Data Mining Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 101
%N 7
%P 46-50
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main objective of this work is to find the factors preventing the employment of educated women's. The purpose of this work is to investigate the obstacles that stand in the way of increasing women's employment. [8] The Questionnaire was designed to predict the factors preventing the employment among the educated women's. Family based reasons preventing women's employment and working environment based reasons preventing employment from these situations data is collected. The WEKA software is used for the study implementation since it is widely used for research purposes in the data mining field. In this dissertation author used Prediction techniques that predict categorical class labels. Ranking which gives binary or ordinal score.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data mining Health problem WEKA Women employment

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