期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2017
卷号：8
期号：4
页码：43-45
语种：English
出版社：Ayushmaan Technologies
摘要：Breast cancer is one of the deadliest disease and its early diagnosis can save numerous of lives.classification is a data mining technique that classifies the items in to class. In this paper we have targeted mainly on two techniques i.e Naive Bayes and C4.5. C4.5 has been applied to SEER dataset to classify tumor in to cancerous(malignant) and Non-cancerous(Bening) tumor. Pre-processing techniques has been applies to prepare relevant dataset for experimental analysis purpose.Random samples and R programming language has been used for diagnosis.The Experimental analysis and conclusion are presented and discussed.
