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Spatial Mining differs from regular data mining in parallel with the difference in spatial and non-spatial data. The attributes of a spatial object is influenced by the attributes of the spatial object and moreover by the spatial location. In this paper, we propose a new algorithm for spatial mining by applying an image extraction method on hierarchical quad tree spatial data structure. Homogeneity...
Data mining is an analytic process designed to explore data in search of consistent patterns or systematic relationships between variables. To build a model for data mining, both supervised and unsupervised learning techniques are used. In this paper we try to make use of a supervised learning technique called classification tree commonly called decision tree to cluster the similar featured attributes...
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