A Novel Approach for Breast Cancer Detection Using Data Mining Techniques

International Journal of Innovative Research in Computer and Communication Engineering (An ISO 3297: 2007 Certified Organization) Vol. 2, Issue 1, January 2014

17 Pages Posted: 6 Jul 2017

See all articles by Vikas Chaurasia

Vikas Chaurasia

VBS Purvanchal University

Saurabh Pal

VBS Purvanchal University

Date Written: June 29, 2017

Abstract

Breast cancer is one of the leading cancers for women when compared to all other cancers. It is the second most common cause of cancer death in women. Breast cancer risk in India revealed that 1 in 28 women develop breast cancer during her lifetime. This is higher in urban areas being 1 in 22 in a lifetime compared to rural areas where this risk is relatively much lower being 1 in 60 women developing breast cancer in their lifetime. In India the average age of the high risk group is 43-46 years unlike in the west where women aged 53-57 years are more prone to breast cancer.

The aim of this paper is to investigate the performance of different classification techniques. The data breast cancer data with a total 683 rows and 10 columns will be used to test, by using classification accuracy. We analyse the breast Cancer data available from the Wisconsin dataset from UCI machine learning with the aim of developing accurate prediction models for breast cancer using data mining techniques. In this experiment, we compare three classification techniques in Weka software and comparison results show that Sequential Minimal Optimization (SMO) has higher prediction accuracy i.e. 96.2% than IBK and BF Tree methods.

Keywords: Breast cancer, Classification techniques, Sequential Minimal Optimization (SMO), IBK, BF Tree.

Suggested Citation

Chaurasia, Vikas and Pal, Saurabh, A Novel Approach for Breast Cancer Detection Using Data Mining Techniques (June 29, 2017). International Journal of Innovative Research in Computer and Communication Engineering (An ISO 3297: 2007 Certified Organization) Vol. 2, Issue 1, January 2014. Available at SSRN: https://ssrn.com/abstract=2994932

Vikas Chaurasia (Contact Author)

VBS Purvanchal University ( email )

Shahganj Road
Jaunpur, Uttar Pradesh 222001
India
+91-9415894006 (Phone)

Saurabh Pal

VBS Purvanchal University ( email )

Shahganj Road
Jaunpur, Uttar Pradesh 222001
India

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