Multiobjective Genetic Algorithms for Clustering [recurso electrónico] : Applications in Data Mining and Bioinformatics / by Ujjwal Maulik, Sanghamitra Bandyopadhyay, Anirban Mukhopadhyay.

Por: Maulik, Ujjwal [author.]Colaborador(es): Bandyopadhyay, Sanghamitra [author.] | Mukhopadhyay, Anirban [author.] | SpringerLink (Online service)Tipo de material: TextoTextoEditor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XVI, 281 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642166150Tema(s): Computer science | Data mining | Artificial intelligence | Bioinformatics | Engineering | Computer Science | Artificial Intelligence (incl. Robotics) | Computational Biology/Bioinformatics | Data Mining and Knowledge Discovery | Computational IntelligenceFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TJ210.2-211.495Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer eBooksResumen: 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.
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Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos Q334 -342 (Browse shelf(Abre debajo)) 1 No para préstamo 375358-2001

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.

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.

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