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Published in:   Vol. 5 Issue 2 Date of Publication:   December 2016

Classification Algorithm based analysis of Breast cancer data

B.Padmapriya,T.Velmurugan

Page(s):   43-49 ISSN:   2278-2397
DOI:   10.20894/IJDMTA.102.005.002.002 Publisher:   Integrated Intelligent Research (IIR)

The classification algorithms are very frequently used algorithms for analyzing various kinds of data available in different repositories which have real world applications. The main objective of this research work is to find the performance of classification algorithms in analyzing Breast Cancer data via analyzing the mammogram images based its characteristics.Different attribute values of cancer affected mammogram images are considered for analysis in this work. The Patients food habits, age of the patients, their life styles, occupation, their problem about the diseases and other information are taken into account for classification. Finally, performance of classification algorithms J48, CART and ADTree are given with its accuracy. The accuracy of taken algorithms is measured by various measures like specificity, sensitivity and kappa statistics (Errors).