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Introduction to Data Mining and its Applications (Paperback, Softcover reprint of the original 1st ed. 2006): S. Sumathi, S.N.... Introduction to Data Mining and its Applications (Paperback, Softcover reprint of the original 1st ed. 2006)
S. Sumathi, S.N. Sivanandam
R6,127 Discovery Miles 61 270 Ships in 10 - 15 working days

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization.

Introduction to Genetic Algorithms (Paperback, Softcover reprint of hardcover 1st ed. 2008): S.N. Sivanandam, S.N. Deepa Introduction to Genetic Algorithms (Paperback, Softcover reprint of hardcover 1st ed. 2008)
S.N. Sivanandam, S.N. Deepa
R4,538 Discovery Miles 45 380 Ships in 10 - 15 working days

This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.

Introduction to Fuzzy Logic using MATLAB (Paperback, Softcover reprint of hardcover 1st ed. 2007): S.N. Sivanandam, S. Sumathi,... Introduction to Fuzzy Logic using MATLAB (Paperback, Softcover reprint of hardcover 1st ed. 2007)
S.N. Sivanandam, S. Sumathi, S.N. Deepa
R5,805 Discovery Miles 58 050 Ships in 10 - 15 working days

This book provides a broad-ranging, but detailed overview of the basics of Fuzzy Logic. The fundamentals of Fuzzy Logic are discussed in detail, and illustrated with various solved examples. The book also deals with applications of Fuzzy Logic, to help readers more fully understand the concepts involved. Solutions to the problems are programmed using MATLAB 6.0, with simulated results. The MATLAB Fuzzy Logic toolbox is provided for easy reference.

Introduction to Genetic Algorithms (Hardcover, 4., Unver??Nd.): S.N. Sivanandam, S.N. Deepa Introduction to Genetic Algorithms (Hardcover, 4., Unver??Nd.)
S.N. Sivanandam, S.N. Deepa
R4,775 Discovery Miles 47 750 Ships in 10 - 15 working days

This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.

Introduction to Fuzzy Logic using MATLAB (Hardcover, 2007 ed.): S.N. Sivanandam, S. Sumathi, S.N. Deepa Introduction to Fuzzy Logic using MATLAB (Hardcover, 2007 ed.)
S.N. Sivanandam, S. Sumathi, S.N. Deepa
R5,838 Discovery Miles 58 380 Ships in 10 - 15 working days

This book provides a broad-ranging, but detailed overview of the basics of Fuzzy Logic. The fundamentals of Fuzzy Logic are discussed in detail, and illustrated with various solved examples. The book also deals with applications of Fuzzy Logic, to help readers more fully understand the concepts involved. Solutions to the problems are programmed using MATLAB 6.0, with simulated results. The MATLAB Fuzzy Logic toolbox is provided for easy reference.

Introduction to Data Mining and its Applications (Hardcover, 2006 ed.): S. Sumathi, S.N. Sivanandam Introduction to Data Mining and its Applications (Hardcover, 2006 ed.)
S. Sumathi, S.N. Sivanandam
R5,964 Discovery Miles 59 640 Ships in 10 - 15 working days

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization.

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