Indian Journal of Science and Technology
Year: 2017, Volume: 10, Issue: 9, Pages: 1-4
Syed Zubair Ahmad Shah* and M. Amjad
*Author for correspondence
Syed Zubair Ahmad Shah
amia Millia Islamia, New Delhi - 110025, Delhi, India;
Email: [email protected]
Objectives: This paper introduces an improvement over the use of Artificial Neural Networks (ANN) for breast cancer detection. Methods: It suggests use of frequent pattern mining for minimizing the dimensions of breast cancer database. After reduction step, the database is then input to an ANN for classification. Findings: We have shown through experimentation that the proposed model not only reduces the input database dimensions but also produces better classification results. Application: The proposed model will be highly beneficial in the field of medicine and will help in precise detection of breast cancer.
Keywords: Artificial Neural Network, Association Rule Mining, Breast Cancer Detection, Dimension Reduction, Frequent Itemset Mining
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