Analysis of Efficiency of Classification and Prediction Algorithms (Naive Bayes) for Breast Cancer Dataset

被引：0

作者：

Rashmi, G. D. ^{[1
]}

Lekha, A. ^{[1
]}

Bawane, Neelam ^{[1
]}

机构：

[1] PES Inst Technol, Comp Applicat, Bangalore, Karnataka, India

来源：

2015 INTERNATIONAL CONFERENCE ON EMERGING RESEARCH IN ELECTRONICS, COMPUTER SCIENCE AND TECHNOLOGY (ICERECT) | 2015年

关键词：

Benign; Breast Cancer; Classification; Malignant; Prediction;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In developed countries death of women due to breast cancer has become regular. Data mining techniques are used to provide the analysis for the classification and prediction algorithms. The algorithms used here are Naive Bayes classification algorithm and Naive Bayes prediction algorithm. The algorithms are used to classify and predict whether the tumour is either benign or malignant. The data used in the algorithms is taken from the Wisconsin University database. Data sets are used to find the success rate and the error rate.

引用

页码：108 / 113

页数：6