Lokasi: Improved Support Vector Machine Using Multiple SVM-RFE for Cancer Classification

Main Authors:	Mohd Hasri, Nurul Nadzirah; Artificial Intelligence and Bioinformatics Research Group, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia, Wen, Nies Hui; Artificial Intelligence and Bioinformatics Research Group, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia, Howe, Chan Weng; Artificial Intelligence and Bioinformatics Research Group, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia, Mohamad, Mohd Saberi; Faculty of Creative Technology and Heritage, Universiti Malaysia Kelantan, Karung Berkunci 01, 16300, Bachok, Kelantan, Malaysia., Deris, Safaai; Faculty of Creative Technology and Heritage, Universiti Malaysia Kelantan, Karung Berkunci 01, 16300, Bachok, Kelantan, Malaysia., Kasim, Shahreen; Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, 86400, Batu Pahat, Johor, Malaysia.
Format:	Article info application/pdf eJournal
Bahasa:	eng
Terbitan:	International Journal on Advanced Science, Engineering and Information Technology , 2017
Subjects:	support vector machine (SVM) multiple support vector machine- recursive feature elimination (MSVM-RFE) leukemia lung cancer
Online Access:	http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/3394 http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/3394/pdf_515

Koleksi	International Journal on Advanced Science, Engineering and Information Technology
Gedung	Indonesian Society for Knowledge and Human Development
Institusi	Indonesian Society for Knowledge and Human Development
Kota	-
Provinsi	DKI JAKARTA
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