Multidimensional Data Visualization : Methods and Applications
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 meas...
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| Autori principali: | , , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New York, NY :
Springer New York
2013.
Cham : Springer Nature |
| Serie: | Springer Optimization and Its Applications
75 |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Multidimensional data visualization, methods and applications, Gintautas Dzemyda, Olga Kurasova, Julius Žilinskas, 2013, New York, Springer, 1 vol. (XII-250 p.), Springer optimization and its applications, 978-1-441-90235-1 • Multidimensional Data Visualization, Texte imprimé, 9781441902672 • Multidimensional Data Visualization, Texte imprimé, 9781489990006 |
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| 100 | 1 | |a Dzemyda, Gintautas, |d 1958- | |
| 245 | 1 | 0 | |a Multidimensional Data Visualization : |b Methods and Applications |c by Gintautas Dzemyda, Olga Kurasova, Julius Žilinskas. |
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c 2013. | ||
| 490 | 0 | |a Springer Optimization and Its Applications |v 75 |x 1931-6836 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Preface -- 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. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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. | ||
| 700 | 1 | |a Kurasova, Olga, |d 19..- |4 aut | |
| 700 | 1 | |a Žilinskas, Julius, |d 19..- |4 aut | |
| 776 | 0 | |0 181143844 |t Multidimensional data visualization |o methods and applications |f Gintautas Dzemyda, Olga Kurasova, Julius Žilinskas |d 2013 |c New York |n Springer |p 1 vol. (XII-250 p.) |s Springer optimization and its applications |z 978-1-441-90235-1 | |
| 776 | 0 | |t Multidimensional Data Visualization |b Texte imprimé |z 9781441902672 | |
| 776 | 0 | |t Multidimensional Data Visualization |b Texte imprimé |z 9781489990006 | |
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