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ICSDM aims to provide a unique inter- and multi-disciplinary forum for all the professionals involved in spatiotemporal big data analysis, trajectory mining, stream data mining, night-time light remot...
The paper proposed a method of weather classification based on cloud model and hierarchical clustering. Firstly, according to the weather sampling data from FY-2C images, cluster the brightness values...
Spatial data mining (SDM) and change detection (CD) are hot issues in the field of geospatial information processing. Considering the feasibility of discovering knowledge from spatial database and t...
Public and private organizations have legacy or operational spatial databases or non-spatial databases, which are also somehow linked to a spatial database or a spatial meaning. In addition to missi...
It is well known that a great deal of achievement about data mining in business field has been made during the past years. In this case, the research emphasis on data mining and knowledge discovery ha...
The reasonable carry on the development and exploitations of the land are the guarantees for keeping on the development, how to use remote sensing data to carry on land use dynamic monitoring fast, ac...
A growing attention has been paid to spatial data mining and knowledge discovery (SDMKD). This paper presents the principles of SDMKD, proposes three new techniques, and gives their applicability and ...
Spatial data mining is to extract the unknown knowledge from a large-amount of existing spatial data repositories areas (Ester et al., 2000). The spatial data are to represent the spatial existence o...
INTEGRATING GIS AND SPATIAL DATA MINING TECHNIQUE FOR TARGET MARKETING OF UNIVERSITY COURSES.
Data mining techniques are studied to discover knowledge from GIS database and remote sensing image data in order to improve land use classification. Two learning granularities are proposed for induct...

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