A new classification method for breast cancer diagnosis: Feature Selection Artificial Immune Recognition System (FS-AIRS)
Yükleniyor...
Dosyalar
Tarih
2005
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
SPRINGER-VERLAG BERLIN
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this study, diagnosis of breast cancer, the second type of the most widespread cancer in women, was performed with a new approach, FS-AIRS (Feature Selection Artificial Immune Recognition System) algorithm that has an important place in classification systems and was developed depending on the Artificial Immune Systems. With this purpose, 683 data in the Wisconsin breast cancer dataset (WBCD) was used. In this study, differently from the studies in the literature related to this concept, firstly, the feature number of each data was reduced to 6 from 9 in the feature selection sub-program by means of forming rules related to the breast cancer data with the C4.5 decision tree algorithm. After separating the 683 data set with reduced feature number into training and test sets by 10 fold cross validation method in the second stage, the data set was classified in the third stage with AIRS and a quite satisfying result was obtained with respect to the classification accuracy compared to the other methods used for this classification problem.
Açıklama
1st International Conference on Natural Computation (ICNC 2005) -- AUG 27-29, 2005 -- Changsha, PEOPLES R CHINA
Anahtar Kelimeler
Kaynak
ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
3611
