Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics

Author:   Ujjwal Maulik ,  Sanghamitra Bandyopadhyay ,  Anirban Mukhopadhyay
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2011 ed.
ISBN:  

9783642439636


Pages:   281
Publication Date:   23 November 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics


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Overview

This is the first book primarily dedicated to clustering using multiobjective genetic algorithms with extensive real-life applications in data mining and bioinformatics. The authors first offer detailed introductions to the relevant techniques – genetic algorithms, multiobjective optimization, soft computing, data mining and bioinformatics. They then demonstrate systematic applications of these techniques to real-world problems in the areas of data mining, bioinformatics and geoscience. The authors offer detailed theoretical and statistical notes, guides to future research, and chapter summaries. The book can be used as a textbook and as a reference book by graduate students and academic and industrial researchers in the areas of soft computing, data mining, bioinformatics and geoscience.

Full Product Details

Author:   Ujjwal Maulik ,  Sanghamitra Bandyopadhyay ,  Anirban Mukhopadhyay
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2011 ed.
Dimensions:   Width: 15.50cm , Height: 1.60cm , Length: 23.50cm
Weight:   0.462kg
ISBN:  

9783642439636


ISBN 10:   3642439632
Pages:   281
Publication Date:   23 November 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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