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Mammogram Mining Using Genetic Ant-Miner

Mammogram Mining Using Genetic Ant-Miner

K. Thangavel, R. Roselin
Copyright: © 2013 |Pages: 18
ISBN13: 9781466624559|ISBN10: 1466624558|EISBN13: 9781466624566
DOI: 10.4018/978-1-4666-2455-9.ch040
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MLA

Thangavel, K., and R. Roselin. "Mammogram Mining Using Genetic Ant-Miner." Data Mining: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 775-792. https://doi.org/10.4018/978-1-4666-2455-9.ch040

APA

Thangavel, K. & Roselin, R. (2013). Mammogram Mining Using Genetic Ant-Miner. In I. Management Association (Ed.), Data Mining: Concepts, Methodologies, Tools, and Applications (pp. 775-792). IGI Global. https://doi.org/10.4018/978-1-4666-2455-9.ch040

Chicago

Thangavel, K., and R. Roselin. "Mammogram Mining Using Genetic Ant-Miner." In Data Mining: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 775-792. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2455-9.ch040

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Abstract

Image mining deals with the extraction of implicit knowledge, image data relationship, or other patterns not explicitly stored in the images. It is an extension of data mining to image domain and an interdisciplinary endeavour. This chapter focuses on mammogram classification using genetic Ant-Miner. The key idea is to generate classifier for classifying mammograms as normal or abnormal using the proposed Genetic Ant-Miner algorithm. The Genetic Algorithm has been employed to optimize some of the ant parameters. A comparative analysis is performed in order to achieve the efficiency of the proposed algorithm. Further, the experimental results reveals that the improvement of the proposed Genetic Ant-Miner in the domain of Biomedical image Analysis.

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