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This title in other editions

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

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

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

This book covers clustering using multiobjective genetic algorithms, with extensive real-life application in data mining and bioinformatics. The authors offer instructions for relevant techniques, and demonstrate real-world applications in several disciplines.

Table of Contents

Introduction.- Genetic Algorithms and Multiobjective Optimization.- Data Mining Fundamentals.- Computational Biology and Bioinformatics.- Multiobjective Genetic-Algorithm-Based Fuzzy Clustering.- Combining Pareto-Optimal Clusters Using Supervised Learning.- Two-Stage Fuzzy Clustering.- Clustering Categorical Data in a Multiobjective Framework.- Unsupervised Cancer Classification and Gene Marker Identification.- Multiobjective Biclustering in Microarray Gene Expression Data.- References.- Index.

Product Details

ISBN:
9783642166143
Author:
Maulik, Ujjwal
Publisher:
Springer
Author:
Bandyopadhyay, Sanghamitra
Author:
Mukhopadhyay, Anirban
Subject:
Artificial Intelligence
Subject:
Bioinformatics
Subject:
clustering
Subject:
Computational Biology
Subject:
Data mining
Subject:
Genetic algorithms
Subject:
Geoscience
Subject:
multi-objective optimization
Subject:
Pattern recognition.
Subject:
Remote Sensing
Subject:
Soft computing
Subject:
Supervised learning
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Computational Biology/Bioinformatics
Subject:
Information Systems and Communication Service
Subject:
Computers-Reference - General
Subject:
Data Mining and Knowledge Discovery
Subject:
Computational intelligence
Copyright:
Edition Description:
2011
Publication Date:
20110325
Binding:
HARDCOVER
Language:
English
Pages:
297
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » Bioinformatics
Computers and Internet » Computers Reference » General
Computers and Internet » Internet » Information
Science and Mathematics » Biology » General

Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics New Hardcover
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$77.50 In Stock
Product details 297 pages Springer - English 9783642166143 Reviews:
"Synopsis" by , This book covers clustering using multiobjective genetic algorithms, with extensive real-life application in data mining and bioinformatics. The authors offer instructions for relevant techniques, and demonstrate real-world applications in several disciplines.
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