An Algorithm of Mining Spatial Association Rules based on Cloud Theory
Chen Pei-pei · Microcomputer Information · 2008
The transforms between qualitative concepts and their quantitative expressions plan an important role in spatial association mining, the cloud theory is this kind of powerful tools. In this paper, an attribute induction and concept promotion method on cloud model is proposed. By studying the methods of data mining and the characters of spatial data, an improved spatial association rule mining algorithm based on Apriori is proposed. Finally an example is explained and confirmed this method validity.