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Whoever has the data has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to... Læs mere
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The GUHA is a method of mechanizing hypothesis formation. The input of the GUHA procedure consists of analysed data and several parameters... Læs mere
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This book provides insights into contemporary issues and challenges in soft computing applications and techniques in healthcare.
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This book provides a fresh perspective by focussing on very important class of related languages. It will be relevant to... Læs mere
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This book discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the... Læs mere
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This book addresses the challenges for the development of Computational Intelligence based WSN for various applications in public management system. It presents theoretical, methodological, well-established and validated empirical work related to the subject.
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Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights... Læs mere
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A comprehensive account of different univariate and multivariate discrete and continuous distributions, the work comprises applications in economics and different financial problems and other scenarios in which these recently developed statistical models have been applied.
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This book shows how to build and maintain a distinctive and credible employer brand, and develop a set of relevant... Læs mere
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This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.
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This book covers both conceptual and procedural aspects of cutting-edge data mining methods, and the path for transitioning... Læs mere