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Data Mining And Modeling Of Hiv/aids Dynamics

RRP $285.99

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The first book to integrate HIV biological and clinical topics with data mining techniques, this volume offers a comprehensive, multidisciplinary source of information for clinicians, biologists, and computational scientists. It addresses problems at the intersection of HIV biology and evolution, clinical and medical problems, and computational methods for mining and modeling HIV/AIDS biological and clinical data. Key features include databases and data management and analysis tools, plus several case studies and their solutions using real datasets collected over several years from actual HIV infected individuals.


Mathematical Tools For Data Mining

RRP $519.99

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Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained and only a general knowledge of mathematics is required. More than 700 exercises are included and they form an integral part of the material. Many exercises are in reality supplemental material and their solutions are included.


Data Mining Using Neural Networks

RRP $231.99

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A concise, easy-to-understand guide to using neural networks in data mining for mathematics, engineering, psychology, and computer science applications, this book compares how neural network models and statistical models are used to tackle data analysis problems. It focuses on the top of the hierarchy of the computational process and shows how neural networks can perform traditional statistical methods of analysis. The book includes some classical and Bayesian statistical inference results and employs R to illustrate the techniques.



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Mining Jobs No Experience





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