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Rough-fuzzy pattern recognition: applications in bioinformatics and medical imaging
Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Wiley-IEEE Press
2012
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1437447 |
_version_ | 1780924523791515648 |
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author | Maji, Pradipta Pal, Sankar K |
author_facet | Maji, Pradipta Pal, Sankar K |
author_sort | Maji, Pradipta |
collection | CERN |
description | Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems dev |
id | cern-1437447 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2012 |
publisher | Wiley-IEEE Press |
record_format | invenio |
spelling | cern-14374472021-04-22T00:33:51Zhttp://cds.cern.ch/record/1437447engMaji, PradiptaPal, Sankar KRough-fuzzy pattern recognition: applications in bioinformatics and medical imagingComputing and ComputersLearn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems devWiley-IEEE Pressoai:cds.cern.ch:14374472012 |
spellingShingle | Computing and Computers Maji, Pradipta Pal, Sankar K Rough-fuzzy pattern recognition: applications in bioinformatics and medical imaging |
title | Rough-fuzzy pattern recognition: applications in bioinformatics and medical imaging |
title_full | Rough-fuzzy pattern recognition: applications in bioinformatics and medical imaging |
title_fullStr | Rough-fuzzy pattern recognition: applications in bioinformatics and medical imaging |
title_full_unstemmed | Rough-fuzzy pattern recognition: applications in bioinformatics and medical imaging |
title_short | Rough-fuzzy pattern recognition: applications in bioinformatics and medical imaging |
title_sort | rough-fuzzy pattern recognition: applications in bioinformatics and medical imaging |
topic | Computing and Computers |
url | http://cds.cern.ch/record/1437447 |
work_keys_str_mv | AT majipradipta roughfuzzypatternrecognitionapplicationsinbioinformaticsandmedicalimaging AT palsankark roughfuzzypatternrecognitionapplicationsinbioinformaticsandmedicalimaging |