CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

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

by S.dhivya, S. Prakasam
journal cover thumbnail

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
  1. A. Priyanga M. Phil(cs) Research Scholar SCSVMV University Enathur, Kanchipuram. S. Prakasam, PhD Assistant Professor Department of CSA, SCSVMV University Enathur, Kanchipuram. Effectiveness of Data Mining – based Cancer Prediction system (DMBCPS). International journal of computer applications(0975-8887) volume 83-No 10,December 2013.
  2. Department for Business and innovation and skills FEB 2013.
  3. Domestic, regional, and international protection of Nigerian women against discrimination: constraints and possibilities by Mojbol Olfnk Okome
  4. Factors affecting female participation in education in seven developing countries
  5. Factors affecting women's participation in university Management in Kenya by Jane onsongo.
  6. Factors Enabling and Constraining Women's Political Advancement in the Pacific
  7. Factors preventing young people from continuing in education
  8. Factors That Affect Women's Labour Force Participation and Suggestions for Provincial Employment and Vocational Education Boards: Ankara, Gaziantep, And Konya Hakan Ercan,Ay?e Gündüz Ho?gör,Özlem Y?lmaz. , Middle East Technical University, Ankara January 2010.
  9. Gender inequality in education and employment
  10. Gerben W. Dekker1, Mykola Pechenizkiy2 and Jan M. Vleeshouwers1 g. w. dekker@student. tue. nl, {m. pechenizkiy, j. m. vleeshouwers}@tue. nl. Predicting Students Drop Out: A Case Study (i) Department of Electrical Engineering, Eindhoven University of Technology, the Netherlands. (ii) Department of Computer Science, Eindhoven University of Technology, the Netherlands.
  11. J. F Superby and J. P. Vandamme N. Meskens Determination of factors influencing the achievement of the first-year university students using data mining methods Production and operations management Department, Catholic University of Mons, Chaussee de binch 151,7000 Mons, Belgium.
  12. Kawsar Ahmed , Ahsan Habib , Tasnuba Jesmin , Zamilur Rahman , Badrul Alam Miah Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Bangladesh Md. Prediction of Breast Cancer Risk Level with Risk Factors in Perspective to Bangladeshi Women using Data Mining. International Journal of Computer Applications (0975 –8887) Volume 82 –No4, November 2013 36
  13. M Prema and S Prakasam Effectiveness of Data Mining - based E-learning system (DMBELS). International Journal of Computer Applications (0975-8887) Volume 66-No. 19,March 2013.
  14. Statistics Canada by government of Canada
  15. Students' Dropout Risk Assessment in Undergraduate Courses of ICT at Residential University – A Case Study.
  16. Syed Tahir Hij nd S. M. M. Raza Naqvi, azil FACTORS AFFECTING STUDENTS' PERFORMANCE. A Case of Private Colleges Bangladesh e-Journal of Sociology. Volume 3. Number 1. January 2006.
  17. The fiscal Times by Liz Peek
  18. Women's Employment in Saudi Arabia. A major challenge.
Index Terms

Computer Science
Information Sciences

Keywords

Data mining Health problem WEKA Women employment

Powered by PhDFocusTM