Mining Educational Data to Predict Failure Factors of Students using Data Mining Techniques
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Abeer Badr El Din Ahmed, Ibrahim Sayed Elaraby , “Data Mining: A prediction for Student's Performance Using Classification Method”, World Journal of Computer Application and Technology, vol. 2, no.2, pp.43-47, 2014.
Carlos Márquez-Vera, Cristóbal Romero Morales , and Sebastián Ventura Soto , “Predicting School Failure and Dropout by Using Data Mining Techniques”, IEEE journal of Latin-American learning technologies , vol. 8 , no. 1 , pp.7-14, 2013.
Saurabh Pal., ” Mining Educational Data to Reduce Dropout Rates of Engineering Students” , vol.2, no.2, pp.1-7, IJIEEB , 2012.
Mohammed M. Abu Tair , Alaa M. El-Halees.”Mining Educational Data to Improve Students” Performance: A Case Study”, JICT, vol 2 , no 2 , 2012.
Mr. M.N. Quadril,Dr. N.V.Kalyankar,”Drop out feature of student data for academic performance using decision tree techniques”, GJCST, vol.10, no.2, 2012.
M. Ramaswami and R. Bhaskaran,” A Study on Feature Selection Techniques in Educational Data Mining”,journal of computing,vol.1, no.1, Dec.2009.
Najmus Saher Shah,” predicting factors that affect students’ academic performance by using data mining techniques”, PAKISTAN BUSINESS REVIEW, pp.631-668, Jan 2012.
http://www.ats.ucla.edu/stat/r/dae/logit.htm
http://www.ats.ucla.edu/stat/stata/faq/logitcatcon11.htm
http://www.ats.ucla.edu/stat/r/dae/melogit.htm
https://www.youtube.com/watch?v=ACWuV16tdhY
http://paulyniceroldens.hubpages.com/hub/What-Causes-College-Students-to-Fail-or-Dropout
http://www.childtrends.org/?indicators=high-school-dropout-rates
http://www.ats.ucla.edu/stat/mult_pkg/faq/general/odds_ratio.htm
http://www.inside-r.org/r-doc
http://www.r-bloggers.com/sab-r-metrics-logistic-regression
https://www.zoology.ubc.ca/~schluter/R/fit-model
http://formulas.tutorvista.com/math/anova-formula.html
https://www.doe.k12.de.us/infosuites/ddoe/P20council/docs/MA1275TAFINAL508.pdf
http://www.nea.org/assets/docs/HE/dropoutguide1108.pdf
Vaghasiya, Priyanka D., and Sahista Machchhar. "Attribute Selection Methods with Classification Techniques in Educational Data Mining to Predict Student’s Performance: A Survey." Data Mining and Knowledge Engineering 7.1 (2015): 9-13.
Weiß, C. H. 2015. Sampling in Data Mining. Wiley StatsRef: Statistics Reference Online. 1–6.
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