TY - BOOK ID - 7615268 TI - Multiobjective Genetic Algorithms for Clustering : Applications in Data Mining and Bioinformatics AU - Maulik, Ujjwal. AU - Bandyopadhyay, Sanghamitra. AU - Mukhopadhyay, Anirban. PY - 2011 SN - 3642166148 3642166156 PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Genetic algorithms KW - Cluster analysis KW - Multiple criteria decision making KW - Data mining KW - Bioinformatics KW - Engineering & Applied Sciences KW - Mechanical Engineering KW - Civil & Environmental Engineering KW - Mathematics KW - Physical Sciences & Mathematics KW - Mathematical Statistics KW - Operations Research KW - Computer Science KW - Mechanical Engineering - General KW - Mathematical models KW - Information Technology KW - Artificial Intelligence KW - Genetic algorithms. KW - Multiple criteria decision making. KW - Data mining. KW - Bioinformatics. KW - Bio-informatics KW - Biological informatics KW - Algorithmic knowledge discovery KW - Factual data analysis KW - KDD (Information retrieval) KW - Knowledge discovery in data KW - Knowledge discovery in databases KW - Mining, Data KW - Decision making with multiple objectives KW - MCDM (Decision making) KW - Multiattribute decisions KW - Multicriteria decision analysis KW - Multicriteria decision making KW - Multicriteria decision making analysis KW - Multiobjective decision making KW - Multiple objective decision making KW - GAs (Algorithms) KW - Genetic searches (Algorithms) KW - Computer science. KW - Artificial intelligence. KW - Computational intelligence. KW - Computer Science. KW - Artificial Intelligence (incl. Robotics). KW - Computational Biology/Bioinformatics. KW - Data Mining and Knowledge Discovery. KW - Computational Intelligence. KW - Biology KW - Information science KW - Computational biology KW - Systems biology KW - Database searching KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Informatics KW - Science KW - Data processing KW - Decision making KW - Algorithms KW - Combinatorial optimization KW - Evolutionary computation KW - Genetic programming (Computer science) KW - Learning classifier systems KW - Engineering. KW - Artificial Intelligence. KW - Construction KW - Industrial arts KW - Technology KW - Mathematical models. KW - Mathematics. UR - https://www.unicat.be/uniCat?func=search&query=sysid:7615268 AB - 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. ER -