A Spatial Data Mining System Extending Generalization based on Rulebase 


Vol. 5,  No. 11, pp. 2786-2796, Nov.  1998
10.3745/KIPSTE.1998.5.11.2786


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  Abstract

Extraction of interesting and general knowledge from large spatial databases is an important task in the development of geographical information systems and knowledge-base systems. In this paper, we propose a spatial data mining system using generalization method; In this system, we extend an existing generalization mining and design a rulebase to support deriving new spatial knowledge. For this purpose, we propose an interleaved method which integrates spatial data dominated and nonspatial data dominated mining and construct a rulebase to extract topological relationship between spatial objects.

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[IEEE Style]

C. S. Min and K. U. Mo, "A Spatial Data Mining System Extending Generalization based on Rulebase," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 5, no. 11, pp. 2786-2796, 1998. DOI: 10.3745/KIPSTE.1998.5.11.2786.

[ACM Style]

Choi Seong Min and Kim Ung Mo. 1998. A Spatial Data Mining System Extending Generalization based on Rulebase. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 5, 11, (1998), 2786-2796. DOI: 10.3745/KIPSTE.1998.5.11.2786.

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