A new kind of tuple for spatial data mining
Fuquan Wang, Qingxian Sun, Tao Fang, Dazhi Guo · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
During the past years, it is well known that data mining has made a lot of achievement in business-typed fields. In this case, the research emphasis on data mining and knowledge discovery has inevitably be shifted from non-spatial data into spatial data. Spatial data mining is is a key technology of "3S", as well as important research content of "Digital Earth". The first thing come into contact with is to decide tuples to be dealed with while carrying out algorithms concerned. In this paper, a new kind of tuple, which is named "mesh-shaped" tuple, is proposed. This kind of tuple takes on larruping characters, it has fields similar to spatial entity and attributes similar to pixel of images. To test feasibility of the new tuple, a practical study case is designed. The whole process of operation demonstrates how to use "mesh-shaped" tuple, and the results indicates that our technical notion is feasible and successful. The new tuple provides a novel technical means to spatial data, and this performance enrichs approach of spatial data mining. The research notion in this paper has shown its significance in science and applications.