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

Ujjwal Maulik

ISBN 10: 3642439632 / ISBN 13: 9783642439636

Verlag: Springer Berlin Heidelberg, 2014

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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.

Bestandsnummer des Verkäufers 9783642439636

Bibliografische Details

• Titel: Multiobjective Genetic Algorithms for Clustering : Applications in Data Mining and Bioinformatics
• Verlag: Springer Berlin Heidelberg
• Erscheinungsjahr: 2014
• Sprache: Englisch
• ISBN-10: 3642439632
• ISBN-13: 9783642439636
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.