Items related to Multidimensional Data Visualization: Methods and Application...
Synopsis
This book highlights recent developments in multidimensional data visualization, presentingaboth new methodsaandamodifications onaclassic techniques.aThroughout theabook, various aapplications ofamultidimensional data visualizationaare presented including itsauses inasocial sciences (economy, education, politics, psychology), environmetrics, andamedicine (ophthalmology, sport medicine, pharmacology, sleep medicine).The book provides recent research results in optimization-based visualization. Evolutionary algorithmsaand aatwo-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of theseaalgorithms and theadevelopment of parallelaversionsaare discussed.Theautilization of newavisualization techniquesato improve theacapabilies ofaartificial neural networks (self-organizing maps, feed-forward networks)ais alsoadiscussed.The bookaincludesaover 100 detailedaimages presenting examples of the manyadifferent visualization techniques thatathe book presents.This book is intended for scientists and researchers inaany field of studyawhere complex andamultidimensionaladata must be represented visually."
"synopsis" may belong to another edition of this title.
From the Back Cover
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.
(No Available Copies)
Search Books: Create a WantCan't find the book you're looking for? We'll keep searching for you. If one of our booksellers adds it to AbeBooks, we'll let you know!
Create a Want
