Correlation-based feature selection for association rule mining in semantic annotation of mammographic medical images

Correlation-based feature selection for association rule mining in semantic annotation of mammographic medical images

Mining of high dimension data for mammogram image classification is highly challenging. Feature reduction using subset selection plays enormous significance in the field of image mining to reduce the complexity of image mining process. This paper aims at investigating an improved image mining techni...

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Bibliographic Details
Main Authors: Abubacker, Nirase Fathima, Azman, Azreen, C. Doraisamy, Shyamala, Azmi Murad, Masrah Azrifah, Elmanna, Mohamed Eltahir Makki, Saravanan, Rekha
Format: Conference or Workshop Item
Language:English
Published: Springer 2014
Online Access:http://psasir.upm.edu.my/id/eprint/39826/
http://psasir.upm.edu.my/id/eprint/39826/1/Correlation-based%20feature%20selection%20for%20association%20rule%20mining%20in%20semantic%20annotation%20of%20mammographic%20medical%20images.pdf

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