Classification and Learning Using Genetic Algorithms
Applications in Bioinformatics and Web Intelligence
Published on 23. April 2007
Book
Hardback
XVI, 311 pages
978-3-540-49606-9 (ISBN)
Description
This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains. The book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit.
Reviews / Votes
"This book tries to balance the mixture of theories, algorithms, and applications and is a good reference for people who want to solve a complex optimization problem for their field. ... Overall, this book is well organized and well written. There is no doubt that this is another good pattern recognition reference to have on one's bookshelf." (Zheng Liu, IAPR Newsletter 30(4), October 2008)More details
Series
Edition
2007 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
87 s/w Abbildungen
XVI, 311 p. 87 illus.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 23 mm
Weight
664 gr
ISBN-13
978-3-540-49606-9 (9783540496069)
DOI
10.1007/3-540-49607-6
Schweitzer Classification
Other editions
Additional editions
Sanghamitra Bandyopadhyay | Sankar Kumar Pal
Classification and Learning Using Genetic Algorithms
Applications in Bioinformatics and Web Intelligence
Book
11/2010
Springer
€106.99
Shipment within 7-9 days
Sanghamitra Bandyopadhyay | Sankar Kumar Pal
Classification and Learning Using Genetic Algorithms
Applications in Bioinformatics and Web Intelligence
E-Book
05/2007
1st Edition
Springer
€96.29
Available for download
Persons
Prof. Sanghamitra Bandyopadhyay has many years of experience in the development of soft computing techniques. Among other awards and positions, she has received senior researcher Humboldt Fellowships, and she is a regular visitor to the DKFZ (German Cancer Research Centre) and to European and North American universities, collaborating in multidisciplinary teams on applications in the areas of computational biology and bioinformatics. Among other awards Prof. Bandyopadhyay received the prestigious Shanti Swarup Bhatnagar Prize in Engineering Sciences in 2010, she is a Fellow of the National Academy of Sciences of India and she is a Fellow of the Indian National Academy of Engineering. Dr. Sriparna Saha is an assistant professor in the Indian Institute of Technology Patna. Among her positions and awards, she was a postdoctoral researcher in Trento and in Heidelberg, and she received the Google India Women in Engineering Award in 2008. Her research interests include multiobjective optimization, evolutionary computation, clustering, and pattern recognition.
Content
Genetic Algorithms.- Supervised Classification Using Genetic Algorithms.- Theoretical Analysis of the GA-classifier.- Variable String Lengths in GA-classifier.- Chromosome Differentiation in VGA-classifier.- Multiobjective VGA-classifier and Quantitative Indices.- Genetic Algorithms in Clustering.- Genetic Learning in Bioinformatics.- Genetic Algorithms and Web Intelligence.