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Reddi, Kiran Kumar
- A Critical Study of Significant Classification Techniques for Diagnosis of Breast Cancer
Abstract Views :380 |
PDF Views:4
Authors
Affiliations
1 Krishna University, Machilipatnam, IN
2 SVH College of Engineering, Machilipatnam, IN
1 Krishna University, Machilipatnam, IN
2 SVH College of Engineering, Machilipatnam, IN
Source
Data Mining and Knowledge Engineering, Vol 6, No 7 (2014), Pagination: 287-291Abstract
Breast cancer is one of the leading cancers for women in developed countries including India. The classification of breast cancer patients is one of the challenging research problems. This paper comes with the selected classification algorithms for the classification of breast cancer patient datasets. The implementation is done using the application of Bayes Net, Naive Bayes classifier, C4.5, Back propagation, and Support Vector Machines. The performance of the algorithm is evaluated using classification accuracy, sensitivity, specificity, and precision values. The experiments are done using 10 fold cross validation method. The results obtained by Bayes Net are superior by other classifiers.Keywords
Data Mining, Classification Algorithms, Breast Cancer Diagnosis.- Soft Computing in Bioinformatics:Methodologies and Applications
Abstract Views :156 |
PDF Views:4
Authors
Affiliations
1 Department of Computer Science, Krishna University, Machilipatnam, IN
2 Department of Pharmaceutical Chemistry, Krishna University, Machilipatnam, IN
1 Department of Computer Science, Krishna University, Machilipatnam, IN
2 Department of Pharmaceutical Chemistry, Krishna University, Machilipatnam, IN