Ujjwal Maulik & Sanghamitra Bandyopadhyay 
Multiobjective Genetic Algorithms for Clustering [PDF ebook] 
Applications in Data Mining and Bioinformatics

Apoio

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.

€55.92
Métodos de Pagamento

Tabela de Conteúdo

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.

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Língua Inglês ● Formato PDF ● Páginas 281 ● ISBN 9783642166150 ● Editora Springer Berlin ● Cidade Heidelberg ● País DE ● Publicado 2011 ● Carregável 24 meses ● Moeda EUR ● ID 2246843 ● Proteção contra cópia Adobe DRM
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