Multiobjective Genetic Algorithms for Clustering Applications in Data Mining and Bioinformatics

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

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...

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Bibliographic Details
Main Authors: Maulik, Ujjwal (Author), Bandyopadhyay, Sanghamitra (Author), Mukhopadhyay, Anirban (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edition:1st ed. 2011.
Series:Springer eBook Collection.
Subjects:
Artificial intelligence.
Bioinformatics.
Data mining.
Computational intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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.

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