On Granular Computing For Aggregate Data Mining

In this paper we examine the problem of aggregate data mining in the context of granular computing (GrC). The motivation of this study is that although currently several GrC perspectives on data mining exist, the issue of mining on aggregate data still deserves more attention. We discuss the semantics of aggregate data mining and define aggregate data mining from a GrC perspective. Following a recently proposed framework of viewing granules as concepts, the problem of aggregate data mining is defined as how to infer the intension of data at granulation levels from given extensions at the level of base granules.