Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics - Hardcover
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.
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Über die Autorin bzw. den Autor
Dr. Siddhartha Bhattacharyya is an Associate Professor in the Dept. of Information Technology of the RCC Institute of Information Technology in Kolkata. He earned Bachelor's degrees in physics, and in optics and optoelectronics, and a Master's degree in optics and optoelectronics from the University of Calcutta, and a PhD in engineering from Jadavpur University, Kolkata. He has published more than 85 research publications. His research interests include soft computing, pattern recognition and quantum computing. Prof. Ujjwal Maulik has been a Professor in the Dept. of Computer Science and Engineering, Jadavpur University, Kolkata since 2004. He has Bachelor's degrees in physics and computer science, and a Master's degree and a PhD in computer science. He led the Dept. of Computer Science and Technology of Kalyani Government Engineering College from 1996 to 1999. He has collaborated and lectured at various institutions worldwide, including extended visits at the Los Alamos National Laboratory, USA, the Univ. of New South Wales, Australia, the Univ. of Texas at Arlington, USA, the Univ. of Maryland, Baltimore County, USA, the Fraunhofer Institute AiS, St. Augustin, Germany, Tsinghua University, China, the Univ. of Rome, Italy, the Univ. of Heidelberg, Germany, and the German Cancer Research Center. He received the Government of India BOYSCAST fellowship in 2001, and the Alexander Von Humboldt Fellowship for Experienced Researchers in 2010, 2011, and 2012, and he has coordinated a number of Erasmus Mundus Mobility with Asia (EMMA) programs. He has coauthored 7 books and more than 250 research publications; he has been program chair for many international conferences and workshops, he is on the editorial board of many journals, and he is a founding member of the IEEE Computational Intelligence Society (CIS) Chapter, Calcutta section. His research interests include computational intelligence, bioinformatics, combinatorial optimization, pattern recognition, and data mining.
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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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Multiobjective Genetic Algorithms for Clustering : Applications in Data Mining and Bioinformatics
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Buch. Zustand: Neu. 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. Artikel-Nr. 9783642166143
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Multiobjective Genetic Algorithms for Clustering : Applications in Data Mining and Bioinformatics
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | 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. Artikel-Nr. 9529727/12
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