Granular data model: semantic data mining and computing with words

Using computing with words as a representation theory of Lin-Zadeh´s notion of granular computing, the bitmap indexes of relational tables is formalized and extended. We call it a granular data model (GDM). If all granulations are partitions, a GDM is reduced to a classical relation in relational data model. Based on GDM, semantically rich rules can be mined. The underlying theme of this paper is computing with words; data mining on GDM is one form of computing with words.