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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Maji, Pradipta, 1976-
Άλλοι συγγραφείς: Pal, Sankar K.
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken, N.J. : John Wiley & Sons, [2012]
Σειρά:Wiley series on bioinformatics.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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037 |a 10.1002/9781118119723  |b Wiley InterScience  |n http://www3.interscience.wiley.com 
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049 |a MAIN 
100 1 |a Maji, Pradipta,  |d 1976- 
245 1 0 |a Rough-fuzzy pattern recognition :  |b applications in bioinformatics and medical imaging /  |c Pradipta Maji, Sankar K. Pal. 
264 1 |a Hoboken, N.J. :  |b John Wiley & Sons,  |c [2012] 
264 4 |c ©2012 
300 |a 1 online resource (xxi, 289 pages) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Wiley series in bioinformatics: computational techniques and engineering 
504 |a Includes bibliographical references and index. 
505 0 |a Frontmatter -- Introduction to Pattern Recognition and Data Mining -- Rough-Fuzzy Hybridization and Granular Computing -- Rough-Fuzzy Clustering: Generalized A-Means Algorithm -- Rough-Fuzzy Granulation and Pattern Classification -- Fuzzy-Rough Feature Selection using -Information Measures -- Rough Fuzzy -Medoids and Amino Acid Sequence Analysis -- Clustering Functionally Similar Genes from Microarray Data -- Selection of Discriminative Genes from Microarray Data -- Segmentation of Brain Magnetic Resonance Images -- Index. 
588 0 |a Print version record. 
520 |a 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. 
650 0 |a Fuzzy systems in medicine. 
650 0 |a Pattern recognition systems. 
650 0 |a Bioinformatics. 
650 0 |a Diagnostic imaging  |x Data processing. 
650 7 |a Bioinformatics.  |2 fast  |0 (OCoLC)fst00832181 
650 7 |a Diagnostic imaging  |x Data processing.  |2 fast  |0 (OCoLC)fst00892357 
650 7 |a Fuzzy systems in medicine.  |2 fast  |0 (OCoLC)fst00936818 
650 7 |a Pattern recognition systems.  |2 fast  |0 (OCoLC)fst01055266 
655 4 |a Electronic books. 
700 1 |a Pal, Sankar K. 
776 0 8 |i Print version:  |a Maji, Pradipta, 1976-  |t Rough-Fuzzy Pattern Recognition.  |d Hoboken, N.J. : John Wiley & Sons, ©2012  |z 9781118004401  |w (OCoLC)699765438 
830 0 |a Wiley series on bioinformatics. 
856 4 0 |u https://doi.org/10.1002/9781118119723  |z Full Text via HEAL-Link 
994 |a 92  |b DG1