Database Issues for Data Visualization: IEEE Visualization '93 Workshop, San Jose, California, USA, October 26, 1993. Proceedings: Lecture Notes in Computer Science, cartea 871
Editat de John P. Lee, Georges G. Grinsteinen Limba Engleză Paperback – 5 oct 1994
The book contains 13 technical contributions organized in sections on datamodels; system integration issues; and interaction, user interfaces, and presentation issues. In addition there are three introductory section surveys and an overall workshop description summarizing the whole event. In total, the reader is presented with a thoroughly refereed and carefully edited state-of-the-art report on the hot interdisciplinary topic of database issues and data visualization.
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Specificații
ISBN-13: 9783540585190
ISBN-10: 3540585192
Pagini: 252
Ilustrații: XIV, 229 p.
Dimensiuni: 155 x 233 x 13 mm
Greutate: 0.36 kg
Ediția:1994
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540585192
Pagini: 252
Ilustrații: XIV, 229 p.
Dimensiuni: 155 x 233 x 13 mm
Greutate: 0.36 kg
Ediția:1994
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Workshop description.- Workshop participants.- Database issues for data visualization: Developing a data model.- Database issues for data visualization: System integration issues.- Database issues for data visualization: Interaction, user interfaces, and presentation.- The VIS-AD data model: Integrating metadata and polymorphic display with a scientific programming language.- An extended schema model for scientific data.- Data integration for visualization systems.- Inherent logical structure of computational data: Its role in storage and retrieval strategies to support user queries.- Database management for data visualization.- Data exploration interactions and the ExBase system.- Database requirements for supporting end-user visualizations.- A system architecture for data-oriented visualization.- A Hyperspectral Image Data Exploration Workbench for environmental science applications.- Design of a 3D user interface to a database.- Visualizing reference databases.- A 3D based user interface for information retrieval systems.- Using visualization to support data mining of large existing databases.