DocumentCode :
3778748
Title :
Analysis of efficiency of classification and prediction algorithms (Naïve Bayes) for Breast Cancer dataset
Author :
Rashmi G D;A Lekha;Neelam Bawane
Author_Institution :
Computer Applications, PES Institute of Technology, Bangalore, India
fYear :
2015
Firstpage :
108
Lastpage :
113
Abstract :
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 Naïve Bayes classification algorithm and Naïve 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.
Keywords :
"Classification algorithms","Prediction algorithms","Probability","Breast cancer","Algorithm design and analysis","Tumors"
Publisher :
ieee
Conference_Titel :
Emerging Research in Electronics, Computer Science and Technology (ICERECT), 2015 International Conference on
Type :
conf
DOI :
10.1109/ERECT.2015.7498997
Filename :
7498997
Link To Document :
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