Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Maji, Pradipta, Pal, Sankar K
Lenguaje:eng
Publicado: Wiley-IEEE Press 2012
Materias:
Acceso en línea:http://cds.cern.ch/record/1437447
_version_ 1780924523791515648
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