Rough-Fuzzy Pattern Recognition
Applications in Bioinformatics and Medical Imaging
By Pradipta Maji, Sankar K. Pal | Publisher: Wiley
About the book
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 textcovering the latest findings as well as directions for future researchis recommended for both students and practitioners working in systems design, pattern recognition, image analysis, data mining, bioinformatics, soft computing, and computational intelligence.
Editions of Rough-Fuzzy Pattern Recognition
- Hardcover
- ISBN 9781118004401
- EBook
- ISBN 9781118119693
- EBook
- ISBN 9781118119723
- EBook
- ISBN 9781118119716
Read an Excerpt
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 textcovering the latest findings as well as directions for future researchis recommended for both students and practitioners working in systems design, pattern recognition, image analysis, data mining, bioinformatics, soft computing, and computational intelligence.
Frequently Asked Questions
What is Rough-Fuzzy Pattern Recognition about?
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 textcovering the latest findings as well as directions for future researchis recommended for both students and practitioners working in systems design, pattern recognition, image analysis, data mining, bioinformatics, soft computing, and computational intelligence.
What core themes, tropes, or subjects are explored in Rough-Fuzzy Pattern Recognition?
Technology, Engineering, Agriculture, Industrial processes > Electronics and communications engineering > Electronics engineering
Where can I read a sample of Rough-Fuzzy Pattern Recognition?
You can read an official preview of the few pages here https://www.book2look.com/book/9781118004401
Is Rough-Fuzzy Pattern Recognition part of a series, and can it be read as a standalone?
Yes it is a part of series Wiley Series in Bioinformatics
Who is/are the Author/s of the book Rough-Fuzzy Pattern Recognition?
Pradipta Maji, Sankar K. Pal
Who is the Publisher of the book Rough-Fuzzy Pattern Recognition?
Wiley
What are the ISBN numbers for the physical and digital editions?
Rough-Fuzzy Pattern Recognition is available as hardcover(ISBN 9781118004401) and ebook(ISBN 9781118119693) and ebook(ISBN 9781118119723) and ebook(ISBN 9781118119716)
Where can I buy Rough-Fuzzy Pattern Recognition online or support local independent bookshops?
You can buy Rough-Fuzzy Pattern Recognition from below
Where can I buy Rough-Fuzzy Pattern Recognition?