Refrences

REFRENCES

            Accessed 8th Febuary 2011

[2]        Changjie Tan, Charles X. Ling Xiaofang Zhou, Nick J. Cercone and Xue Li (Eds),
             (2008), “Advanced Data Mining and Application ” 4th International Confrence, ADMA, Chendu, China proceedings

[3]        Chih-Wei Hsu And Chih-Jen Lin (2002),  “A Comparism Of Methods For Multiclass Support Vector Machine” IEEE Transactions On Neural Networks, Vol. 13, No. 2, March 2002
Accessed: 8th February, 2010

[4]        Dan Ventura (2009) “SVM Examples” http://axon.cs.byu.edu/Dan/678/miscellaneous/SVM.example.pdf
Accessed: 8th February, 2010

[5]        Electrical engineering training series “variation in ionosphere”
Accessed: 8th February, 2010

[6]        Johns Hopkins University Ionosphere Database
Accessed: 8th February, 2010

[7]        Kaibo Duan & S. Sathiya Keerthi, “What is the best multiclass SVM method? An Empirical study” Control Division, Department of Mechanical Engineering National University of Singapore, Singapore 119260
Accessed: 8th February, 2010


[8]        Luis Castillo, Antonio Gonzalez and Raul Perez (2001) “Including a simplicity criterion in the selection of the best rule in genetic fuzzy learning algorithm”
            Accessed: 8th February, 2010

[9]        UCI: Machine Learning Respository, “Wine Datset” (2001)

Accessed: 8th February, 2010

[10]      Siddharth Gupta, VEena Padmanabhan, Heather ojnston and Grant Lee  (2005) “SUPPORT VECTOR  MACHINES”, Version 1.2: Dec 23, 2005 US/Central
            http://creativecommons.org/licenses/by/2.0/


[11]    Figure 1: Ionosphere components

[12]    Figure 1: Multiclass Classification

[13]   Picture:Wine classification
  http://www.topdoglimobus.com/temecula_wine_tours.htm

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