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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Main Authors: | Abubacker, Nirase Fathima, Azman, Azreen, C. Doraisamy, Shyamala, Azmi Murad, Masrah Azrifah, Elmanna, Mohamed Eltahir Makki, Saravanan, Rekha |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
Springer
2014
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Online Access: | 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 http://psasir.upm.edu.my/id/eprint/39826/ |
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