This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of multidimensional data visualization are presented including its uses in social sciences (economy, education, politics, psychology), environmetrics, and medicine (ophthalmology, sport medicine, pharmacology, sleep medicine).
The book provides recent research results in optimization-based visualization. Evolutionary algorithms and a two-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of these algorithms and the development of parallel versions are discussed.
The utilization of new visualization techniques to improve the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed.
The book includes over 100 detailed images presenting examples of the many different visualization techniques that the book presents.
This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually.
"synopsis" may belong to another edition of this title.
The goal of this book is to present a variety of methods used in multidimensional data visualization. The emphasis is placed on new research results and trends in this field, including optimization, artificial neural networks, combinations of algorithms, parallel computing, different proximity measures, nonlinear manifold learning, and more. Many of the applications presented allow us to discover the obvious advantages of visual data mining―it is much easier for a decision maker to detect or extract useful information from graphical representation of data than from raw numbers.
The fundamental idea of visualization is to provide data in some visual form that lets humans understand them, gain insight into the data, draw conclusions, and directly influence the process of decision making. Visual data mining is a field where human participation is integrated in the data analysis process; it covers data visualization and graphical presentation of information.
Multidimensional Data Visualization is intended for scientists and researchers in any field of study where complex and multidimensional data must be visually represented. It may also serve as a useful research supplement for PhD students in operations research, computer science, various fields of engineering, as well as natural and social sciences.
"About this title" may belong to another edition of this title.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book highlights recent developments in multidimensional data visualization, presentingboth new methodsandmodifications onclassic techniques.Throughout thebook, various applications ofmultidimensional data visualizationare presented including itsuses insocial sciences (economy, education, politics, psychology), environmetrics, andmedicine (ophthalmology, sport medicine, pharmacology, sleep medicine).The book provides recent research results in optimization-based visualization. Evolutionary algorithmsand atwo-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of thesealgorithms and thedevelopment of parallelversionsare discussed.Theutilization of newvisualization techniquesto improve thecapabilies ofartificial neural networks (self-organizing maps, feed-forward networks)is alsodiscussed.The bookincludesover 100 detailedimages presenting examples of the manydifferent visualization techniques thatthe book presents.This book is intended for scientists and researchers inany field of studywhere complex andmultidimensionaldata must be represented visually.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch. Seller Inventory # 9781489990006
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of multidimensional data visualization are presented including its uses in social sciences (economy, education, politics, psychology), environmetrics, and medicine (ophthalmology, sport medicine, pharmacology, sleep medicine).The book provides recent research results in optimization-based visualization. Evolutionary algorithms and a two-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of these algorithms and the development of parallel versions are discussed.The utilization of new visualization techniques to improve the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed.The book includes over 100 detailed images presenting examples of the many different visualization techniques that the book presents.This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually. Seller Inventory # 9781489990006
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