IJCATR Volume 2 Issue 5

Classification of Breast Cancer Samples Through Using the Artificial Bee Colony Algorithm

Mahsa Nazarian Mashala Abbasi Dezfouli Ali Haronabadi
10.7753/IJCATR0205.1004
keywords : breast cancer, data mining, ABC, artificial bee colony, classification.

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The algorithm of artificial bee colony has been widely applied in optimization issues. The pattern of this algorithm has been derived from the intelligent behavior of bees in the nature. The aim of this paper is to present a model for classification of binary problems through using data mining techniques, and on the basis of artificial bee colony algorithm. In this paper, breast cancer data that has been presented by Wisconsin University to investigate and evaluate the proposed method has been used and applied. With regard to the obtained results, it has been shown that this algorithm has a considerable and important function.
@artical{m252013ijcatr02051004,
Title = "Classification of Breast Cancer Samples Through Using the Artificial Bee Colony Algorithm",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "2",
Issue ="5",
Pages ="522 - 525",
Year = "2013",
Authors ="Mahsa Nazarian Mashala Abbasi Dezfouli Ali Haronabadi"}
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