img Leseprobe Leseprobe

Rough-Fuzzy Pattern Recognition

Applications in Bioinformatics and Medical Imaging

Sankar K. Pal, Pradipta Maji

EPUB
101,99
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

John Wiley & Sons img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik

Beschreibung

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 development, making it easier to master such tasks as classification, clustering, and feature selection. Rough-Fuzzy Pattern Recognition examines the important underlying theory as well as algorithms and applications, helping readers see the connections between theory and practice. The first chapter provides an introduction to pattern recognition and data mining, including the key challenges of working with high-dimensional, real-life data sets. Next, the authors explore such topics and issues as: * Soft computing in pattern recognition and data mining * A mathematical framework for generalized rough sets, incorporating the concept of fuzziness in defining the granules as well as the set * Selection of non-redundant and relevant features of real-valued data sets * Selection of the minimum set of basis strings with maximum information for amino acid sequence analysis * Segmentation of brain MR images for visualization of human tissues Numerous examples and case studies help readers better understand how pattern recognition models are developed and used in practice. This text--covering the latest findings as well as directions for future research--is recommended for both students and practitioners working in systems design, pattern recognition, image analysis, data mining, bioinformatics, soft computing, and computational intelligence.

Weitere Titel in dieser Kategorie

Kundenbewertungen

Schlagwörter

Mustererkennung, Biomedizintechnik, Life Sciences, Pattern Analysis, Bioinformatik u. Computersimulationen in der Biowissenschaften, Biomedical Imaging, Bildgebende Verfahren i. d. Biomedizin, Bioinformatics & Computational Biology, Bioinformatik, Electrical & Electronics Engineering, Elektrotechnik u. Elektronik, Biowissenschaften, Biomedical Engineering