SDM Principles

The spatial data mining (SDM) method is a discovery process of extracting generalized knowledge from massive spatial data, which builds a pyramid from attribute space and feature space to concept space. SDM is an interdisciplinary subject and is therefore related to, but different from, other subjec...

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Bibliographic Details
Published inSpatial Data Mining pp. 23 - 55
Main Authors Li, Deren, Wang, Shuliang, Li, Deyi
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 24.03.2016
Subjects
Association Rule
Spatial Data
Spatial Database
Spatial Information
Spatial Knowledge
Online AccessGet full text
ISBN9783662485361
3662485362
DOI10.1007/978-3-662-48538-5_2

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Summary:The spatial data mining (SDM) method is a discovery process of extracting generalized knowledge from massive spatial data, which builds a pyramid from attribute space and feature space to concept space. SDM is an interdisciplinary subject and is therefore related to, but different from, other subjects. Its basic concepts are presented in this chapter, which include manipulating space, SDM view, discovered knowledge, and knowledge representation.
ISBN:9783662485361
3662485362
DOI:10.1007/978-3-662-48538-5_2