IV'98 Visualising Information: Commentary

Author: Banissi E.

Source: Archives and Museum Informatics, Volume 12, Number 2, 1998 , pp. 163-166(4)

Publisher: Springer

Buy & download fulltext article:

Price: $47.00 plus tax (Refund Policy)

Abstract:

To see is to know to visualise information is to decide with knowledge. Visualising and understanding enables us to closer to knowledge discovery. The technology based on visual and analytical processes developed in various disciplines ranging from science to art and humanities. Limited examples such as scientific visualisation, data mining, statistics and machine learning that handle very large, multidimensional, multi-variant data set are available in practical domains. Information Visualisation is based on the methodology that characterises structure to de displayed, human perceptual power to detect patterns exceptions, trends, relationships and imperfections. Information Visualisation, IV-Series, aims to promote the theme that links Data-Information-Knowledge.

Language: English

Document Type: Regular paper

Affiliations: 1: Visualisation & Graphics Research Group -- VGRU -- School of Computing, South Bank University E-mail: banisse@sbu.ac.uk

Publication date: 1998-01-01