Feature Selected Cancer Data Classification with Genetic Programming

Arslan S., ÖZTÜRK C.

21st National Biomedical Engineering Meeting (BIYOMUT), İstanbul, Türkiye, 24 Kasım - 26 Aralık 2017 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sivas Cumhuriyet Üniversitesi Adresli: Hayır

Özet

Classification is used to distribute data to classes defined on the dataset. Classification algorithms determine the classes in which the data in the test set is to be included by learning the distribution of classes in the training set. It is directly dependent on the choice of which properties to use in the classification. The most prominent features of cancer data in this work are selection and classification using genetic programming method. It has been seen that very successful classification results are obtained with Genetic Programming.