Intelligent Soft Computation And Evolving Data Mining Integrating Advanced Technologies
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Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies
"This book provides a reference to researchers, practitioners, and students in both soft computing and data mining communities for generating creative ideas of securing and managing data mining"--Provided by publisher.
Computational Intelligence, Cyber Security and Computational Models
Author: G. Sai Sundara Krishnan
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-11-26
This book contains cutting-edge research material presented by researchers, engineers, developers, and practitioners from academia and industry at the International Conference on Computational Intelligence, Cyber Security and Computational Models (ICC3) organized by PSG College of Technology, Coimbatore, India during December 19–21, 2013. The materials in the book include theory and applications to provide design, analysis, and modeling of the key areas. The book will be useful material for students, researchers, professionals, as well academicians in understanding current research trends and findings and future scope of research in computational intelligence, cyber security, and computational models.
Analyzing Risk through Probabilistic Modeling in Operations Research
Author: Jakóbczak, Dariusz Jacek
language: en
Publisher: IGI Global
Release Date: 2015-11-03
Probabilistic modeling represents a subject spanning many branches of mathematics, economics, and computer science to connect pure mathematics with applied sciences. Operational research also relies on this connection to enable the improvement of business functions and decision making. Analyzing Risk through Probabilistic Modeling in Operations Research is an authoritative reference publication discussing the various challenges in management and decision science. Featuring exhaustive coverage on a range of topics within operational research including, but not limited to, decision analysis, data mining, process modeling, probabilistic interpolation and extrapolation, and optimization methods, this book is an essential reference source for decision makers, academicians, researchers, advanced-level students, technology developers, and government officials interested in the implementation of probabilistic modeling in various business applications.