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bibliografia.bib
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bibliografia.bib
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@misc{fnlwgt,
AUTHOR = {UCI},
TITLE = {Census Income Data Set Description},
URL ={http://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.names},
accessed = {03-Jun-2016},
LANGUAGE = {English},
}
@misc{maritalstatus,
AUTHOR = {U.S. Census Bureau},
TITLE = {Marital Status: 2000},
URL ={http://www.census.gov/prod/2003pubs/c2kbr-30.pdf},
accessed = {04-Jun-2016},
LANGUAGE = {English}
}
@misc{Lichman:2013 ,
author = "M. Lichman",
year = "2013",
title = "{UCI} Machine Learning Repository",
url = "http://archive.ics.uci.edu/ml",
institution = "University of California, Irvine, School of Information and Computer Sciences" }
@misc{factores,
author = {Universidad De Berkeley},
year = {2009},
title = {Factors in R},
url = {http://www.stat.berkeley.edu/~s133/factors.html}
}
@book{islroob,
author = {Gareth James and Daniela Witten and Trevor Hastie and Robert Tibshirani},
title = {An Introduction To Statiscal Learning with Applications in R},
publisher = {Springer},
pages = {317-318}
}
@misc{redneuronalr,
author = {Michy Alice},
title = {Fitting a Neural Network in R; neuralnet package},
year = {2015},
url = {http://datascienceplus.com/fitting-neural-network-in-r/}
}
@book{lfd,
author = {Yaser S. Abu-Mostafa and Malik Magdon-Ismail and Hsuan-Tien Lin},
title = {Learning From Data A Short Course},
publisher = {AMLbook.com},
pages = {89-93}
}
@book{estadisticosinr,
author = {Trevor Hastie and Robert Tibshirani and Jerome Friedman},
title = {The Elements of Statiscal Learning: Data Mining, Inference, and Prediction},
edition = {Second},
publisher = {Springer},
year = {2008},
pages = {416-420}
}
@misc{unbalanced,
author = {Vaishali Ganganwar},
title = {An overview of classification algorithms for imbalanced datasets},
year = {2012},
url = {http://www.ijetae.com/files/Volume2Issue4/IJETAE_0412_07.pdf}
}
@misc{teoriakknn,
author = {Hechenbichler K. and Schliep K.P.},
title = {Weighted k-Nearest-Neighbor Techniques and Ordinal Classification},
year = {2004},
url = {http://www.stat.uni-muenchen.de/sfb386/papers/dsp/paper399.ps}
}
@misc{dvcsvm,
author = {Christopher J.C. Burges},
title = {A tutorial on Support Vector Machines for Pattern Recognition},
year = {1998},
url = {http://www-ai.cs.uni-dortmund.de/LEHRE/VORLESUNGEN/KDD/SS08/burges_svm_tutorial.pdf}
}