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VISUAL DATA MINING IN ATMOSPHERIC SCIENCE DATA
Citation:
Macedo, M., D. Cook, AND T. J. Brown. VISUAL DATA MINING IN ATMOSPHERIC SCIENCE DATA. 2000, Chapter 4, Brown, T; Mielke, P.Jr. (ed.), Data Mining and Knowledge Discovery. Kluwer Academic Publishers, Hingham, MA, , 69-80, (2000).
Description:
This paper discusses the use of simple visual tools to explore multivariate spatially-referenced data. It describes interactive approaches such as linked brushing, and dynamic methods such as the grand tour. applied to studying the Comprehensive Ocean-Atmosphere Data Set (COADS). This visual approach provides an alternative way to gain understanding of high-dimensional data. It also provides cross-validation and visual adjuncts to the more computationally intensive data mining techniques.
Record Details:
Record Type:DOCUMENT( BOOK CHAPTER)
Product Published Date:07/01/2000
Record Last Revised:12/22/2005
Record ID:
65852