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...
সংরক্ষণ করুন:
| প্রধান লেখক: | , , |
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| বিন্যাস: | Livre numérique |
| ভাষা: | Anglais |
| প্রকাশিত: |
New York, NY :
Springer New York
2013.
Cham : Springer Nature |
| মালা: | Springer Optimization and Its Applications
75 |
| অনলাইন ব্যবহার করুন: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| টীকা: |
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 |
| সংক্ষিপ্ত: | 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. |
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| উপাদানের বিবরণ: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| আইসবিএন: | 9781441902368 |
| আইএসএসএন: | 1931-6836 |
| প্রবেশাধিকার: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |