Titlebook: Spatial Data Mining; Theory and Applicati Deren Li,Shuliang Wang,Deyi Li Textbook 2015 Springer-Verlag Berlin Heidelberg 2015 Spatial data

排他

Deren Li,Shuliang Wang,Deyi Liresearch suggests that particularly inexperienced users searching the Web utilize only a modest subset of the capabilities that the tools offer and are weak at understanding their real information needs, articulating them in a way that allows for effective searches, and interpreting search results i

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Alcove

Textbook 2015nd the second in 2013). It offers a systematic andpractical overview of spatial data mining, which combines computer science andgeo-spatial information science, allowing each field to profit from theknowledge and techniques of the other. To address the spatiotemporalspecialties of spatial data, the

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SDM Data Source,deling spatial data; explain spatial databases and data warehouses in the context of seamless organization and fusion; and introduce the National Spatial Data Infrastructures (NSDI) of nations and regions, highlighting China’s NSDI; and based on NSDI, discriminate Digital Earth, Smart Earth, and Big Data, in which SDM plays an important role.

Affiliation

亚当心理阴影

SDM Data Source,es the service features of spatial data. This chapter will explain spatial data based on their contents and characteristics; review the techniques for acquiring spatial data; introduce the structure of spatial data based on vectors, raster structures, and their integration; discuss the process of mo

BRIBE

笼子

GIS Data Mining,ilized in case studies to discover spatial association rules and attribute generalization. First bank operational income analysis and location selection assessment are used to demonstrate how inductive learning uncovers the spatial distribution rules; urban air temperature and agricultural data are