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101 0 $aeng
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181   $ctxt
182   $cc
183   $acr
200 10$aMultidimensional data visualization $emethods and applications /$fGintautas Dzemyda, Olga Kurasova, Julius Zilinskas
205   $a1st ed. 2013.
210   $aNew York $cSpringer$d2013
215   $a1 online resource (261 p.)
225  0$aSpringer optimization and its applications ;$vv. 75
300   $aDescription based upon print version of record.
311 08$a1-4899-9000-3 
311 08$a1-4419-0235-X 
320   $aIncludes bibliographical references and index.
327   $aPreface -- 1. Multidimensional Data and the Concept of Visualization -- 2. Strategies for Multidimensional Data Visualization -- 3. Optimization-Based Visualization -- 4. Combining Multidimensional Scaling with Artificial Neural Networks -- 5. Applications of Visualizations -- A. Test Data Sets -- References -- Index.
330   $aThe goal of this book is to present a variety of methods used  in multidimensional data visualization. The emphasis is placed on new research results and trends in this field, including optimization, artificial neural networks, combinations of algorithms, parallel computing, different proximity measures, nonlinear manifold learning,  and more. Many of the applications presented allow us to discover the obvious advantages of visual data mining?it is much easier for a decision maker to detect or extract useful information from graphical representation of data than from raw numbers. The fundamental idea of visualization is to provide data in some visual form that lets humans  understand them, gain insight into the data, draw conclusions, and directly influence the process of decision making. Visual data mining is a field where human participation is integrated in the data analysis process; it covers data visualization and graphical presentation of information. Multidimensional Data Visualization is intended for scientists and researchers in any field of study where complex and multidimensional data must be visually represented. It may also serve as a useful research supplement for PhD students in operations research, computer science, various fields of engineering,  as well as natural and social sciences.
410  0$aSpringer Optimization and Its Applications,$x1931-6828 ;$v75
606   $aMultimedia systems
615  0$aMultimedia systems.
676   $a006.6
676   $a006.693
700   $aDzemyda$b Gintautas$01063020
701   $aKurasova$b Olga$01757963
701   $aZilinskas$b Julius$0721722
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910438142903321
996   $aMultidimensional data visualization$94195999
997   $aUNINA