Nonparametric techniques to extract fuzzy rules for breast cancer diagnosis problem
10.3233/978-1-60750-928-8-1394
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sg-nus-scholar.10635-782582015-01-06T07:18:15Z Nonparametric techniques to extract fuzzy rules for breast cancer diagnosis problem Sarkar, M. Leong, T.-Y. COMPUTER SCIENCE and clustering Breast cancer classification diagnosis fuzzy set nearest neighbors algorithm rough set rule base Wisconsin-Madison data 10.3233/978-1-60750-928-8-1394 Studies in Health Technology and Informatics 84 1394-1398 2014-07-04T03:14:13Z 2014-07-04T03:14:13Z 2001 Conference Paper Sarkar, M.,Leong, T.-Y. (2001). Nonparametric techniques to extract fuzzy rules for breast cancer diagnosis problem. Studies in Health Technology and Informatics 84 : 1394-1398. ScholarBank@NUS Repository. <a href="https://doi.org/10.3233/978-1-60750-928-8-1394" target="_blank">https://doi.org/10.3233/978-1-60750-928-8-1394</a> 1586031945 09269630 http://scholarbank.nus.edu.sg/handle/10635/78258 NOT_IN_WOS Scopus |
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and clustering Breast cancer classification diagnosis fuzzy set nearest neighbors algorithm rough set rule base Wisconsin-Madison data |
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and clustering Breast cancer classification diagnosis fuzzy set nearest neighbors algorithm rough set rule base Wisconsin-Madison data Sarkar, M. Leong, T.-Y. Nonparametric techniques to extract fuzzy rules for breast cancer diagnosis problem |
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10.3233/978-1-60750-928-8-1394 |
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COMPUTER SCIENCE |
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COMPUTER SCIENCE Sarkar, M. Leong, T.-Y. |
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Conference or Workshop Item |
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Sarkar, M. Leong, T.-Y. |
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Sarkar, M. |
title |
Nonparametric techniques to extract fuzzy rules for breast cancer diagnosis problem |
title_short |
Nonparametric techniques to extract fuzzy rules for breast cancer diagnosis problem |
title_full |
Nonparametric techniques to extract fuzzy rules for breast cancer diagnosis problem |
title_fullStr |
Nonparametric techniques to extract fuzzy rules for breast cancer diagnosis problem |
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Nonparametric techniques to extract fuzzy rules for breast cancer diagnosis problem |
title_sort |
nonparametric techniques to extract fuzzy rules for breast cancer diagnosis problem |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/78258 |
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1681088609161052160 |