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DAFTAR PUSTAKA Fractal. (2003). Comparative Analysis of Classification Techniques. A Fractal White Paper Hosmer, D.W. dan Lemeshow (1989), Applied Logistic Regression, John Wiley, New York, Johnson, R.A. dan Winchern,D.W. (1992), Applied Multivariate Statistical Analysis, Prentice Hall, New Jersey. Kurt, I, Ture, M, Kurum, A.T. (2006), Comparing Performances of Logistic Regression Classification and Regression Tree, and Neural Network for Predicting Coronary Artery Disease, Expert Systems with Applications, Volume 34, Issue 1, Manel, S, Dias, JM dan Ormerod, S.J (1999), Comparing discriminant analysis, neural networks and logistic regression for predicting species distributions: a case study with a Himalayan river bird, Ecological Modelling, 120 (1999) 337–347 Meshbane, Alice, Morris, John D. (1996), Predictive Discriminant Analysis Versus Logistic Regression in Two-Group Classification Problems, American Educational Research Paper Negnevitsky dan Michael, (2002), Artificial Intelligence: A Guide to Intelligent System, Boston: PWS-KENT. Tatham, R.L., Hair, J.F, Anderson, R.E., dan Black, W.C., (1998), “Multivariate Data Analysis”, Prentice Hall, New Jersey

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DAFTAR PUSTAKA

Fractal. (2003). Comparative Analysis of Classification Techniques. A Fractal White

Paper

Hosmer, D.W. dan Lemeshow (1989), Applied Logistic Regression, John Wiley, New

York,

Johnson, R.A. dan Winchern,D.W. (1992), Applied Multivariate Statistical Analysis,

Prentice Hall, New Jersey.

Kurt, I, Ture, M, Kurum, A.T. (2006), Comparing Performances of Logistic Regression

Classification and Regression Tree, and Neural Network for Predicting

Coronary Artery Disease, Expert Systems with Applications, Volume 34,

Issue 1,

Manel, S, Dias, JM dan Ormerod, S.J (1999), Comparing discriminant analysis, neural

networks and logistic regression for predicting species distributions: a case

study with a Himalayan river bird, Ecological Modelling, 120 (1999) 337–347

Meshbane, Alice, Morris, John D. (1996), Predictive Discriminant Analysis Versus

Logistic Regression in Two-Group Classification Problems, American

Educational Research Paper

Negnevitsky dan Michael, (2002), Artificial Intelligence: A Guide to Intelligent System,

Boston: PWS-KENT.

Tatham, R.L., Hair, J.F, Anderson, R.E., dan Black, W.C., (1998), “Multivariate Data

Analysis”, Prentice Hall, New Jersey

Wikipedia, Computer Vision, <http://en.wikipedia.org/wiki/computer_vision>,

(didownload pada 1 Agustus 2008).