Category Oriented Analysis for Visual Data Mining

Abstract

Enterprises are now storing large amount of a data and data warehousing and data mining are gaining a great deal of attention for identifying effective business strategies. Data mining extracts effective patterns and rules from data warehouses automatically. Although various approaches have been attempted, we focus on visual data mining support to harness the perceptual and cognitive capabilities of the human user. The proposed visual data mining support system visualizes data using the rules or information induced by data mining algorithms. It helps users to acquire information. Although existing systems can extract data characteristics only from the complete data set, this paper proposes a category oriented analysis approach that can detect the features of the data of associated with one or more particular categories.