Document (#30216)

Author
Gluck , M.
Title
Multimedia exploratory data analysis for geospatial data mining : the case for augmented seriation
Source
Journal of the American Society for Information Science and technology. 52(2001) no.8, S.686-696
Year
2001
Abstract
To prevent type-one error, statisticians tend to accept the possibility of type-two error, which leads to the rejection of hypotheses later shown to be true. In both Exploratory Data Analysis and data mining the emphasis is more appropriately on the elimination of type-two error. Thus EDA methods, including its visualization tools may be appropriate for Data Mining. Seriation, creates a matrix of observations and variables, where the cells contain an icon whose size represents its value, and permits the movement of rows and columns in order to visually discern patterns. Augmented Seriation, a method of data mining, adds computer graphics, sound, color, and extra dimensions to the matrix so that the analyst has different modalities for pattern observation. Gluck has developed software for such analysis.
Theme
Data Mining

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