Visual Data Mining In Atmospheric Science Data

Authors:
Márcia Macêdo;Dianne Cook;Timothy J. Brown
Affiliations:
Department of Statistics, Iowa State University, 102 Snedecor Hall, Ames, IA, 50011-1210 USA. macedo@iastate.edu;Department of Statistics, Iowa State University, 325 Snedecor Hall, Ames, IA, 50011-1210 USA. dicook@iastate.edu;Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89512-1095 USA. tbrown@dri.edu
Venue:
Data Mining and Knowledge Discovery
Year:
2000

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Abstract

This paper discusses the use of simple visual tools to exploremultivariate spatially-referenced data. It describes interactiveapproaches such as linked brushing, and dynamic methods such as thegrand tour, applied to studying the Comprehensive Ocean-AtmosphereData Set (COADS). This visual approach provides an alternative way togain understanding of high-dimensional data. It also providescross-validation and visual adjuncts to the more computationallyintensive data mining techniques.