Rough-fuzzy pattern recognition applications in bioinformatics and medical imaging

"This book provides a unified framework describing how rough-fuzzy computing techniques can be formulated and used in building efficient pattern recognition models. Based on the existing as well as new results, the book is structured according to the major phases of a pattern recognition system...

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Bibliographische Detailangaben
1. Verfasser:	Maji, Pradipta (VerfasserIn)
Weitere Verfasser:	Pal, Sankar K. (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	Piscataway, NJ IEEE Press 2012 Hoboken, NJ Wiley 2012
Schriftenreihe:	Wiley series on bioinformatics 3
Schlagworte:	Fuzzy systems in medicine > Pattern recognition systems > Bioinformatics > Diagnostic imaging > Data processing > Fuzzy Logic > Pattern Recognition, Automated > methods > Computational Biology > Image Processing, Computer-Assisted > Mustererkennung > Data Mining > Fuzzy-logisches Schließen
Online Zugang:	Inhaltsverzeichnis
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Beschreibung
Zusammenfassung:	"This book provides a unified framework describing how rough-fuzzy computing techniques can be formulated and used in building efficient pattern recognition models. Based on the existing as well as new results, the book is structured according to the major phases of a pattern recognition system (e.g., classification, clustering, and feature selection) with a balanced mixture of theory, algorithm and applications. Special emphasis has been given to applications in bioinformatics and medical image processing. The book is useful for graduate students and researchers in computer science, electrical engineering, system science, medical science, and information technology. Researchers and practitioners in industry and R&D laboratories will also benefit"--
Beschreibung:	XXI, 289 S. Ill., graph. Darst.
ISBN:	9781118004401 978-1-118-00440-1