Effective Spatial Characterization System Using Density-Based Clustering

Authors:
Chan-Min Ahn;Jae-Hyun You;Ju-Hong Lee;Deok-Hwan Kim
Affiliations:
Department of Computer Science and Engineering, Inha-University, Korea;Department of Computer Science and Engineering, Inha-University, Korea;Department of Computer Science and Engineering, Inha-University, Korea;Department of Electronic and Engineering, Inha-University, Korea
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Year:
2007

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Abstract

Previous spatial characterization methods does not analyze well spatial regions for a given query since it only focus on characterization for user's pre-selected area and without consideration of spatial density. Consequently, the effectiveness of characterization knowledge is decreased in these methods. In this paper, we propose a new hybrid spatial characterization system combining the density-based clustering module which consists of the attribute removal generalization and the concept hierarchy generalization. The proposed method can generate characteristic rule and apply density-based clustering to enhance the effectiveness of generated rules.