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Visualized Spatial Data Classifying Based on Spatial Data Mining

Authors: Zelu Jia; Yaolin Liu;

Visualized Spatial Data Classifying Based on Spatial Data Mining

Abstract

A spatial data mining prototype system called Visual Geo-Classify System (VGCS) use to classify spatial data based on VC++6.0 is designed and developed. The authors used examples of data verified the effectiveness on system performance, algorithms and rules. The results indicate that this prototype system is a practical and extensible Visual Interactive Spatial Data Mining tool, it can achieve the interactive control of data mining course dynamic and real-time, the process and models of geo-spatial data classifying are visualized, and the results of data mining can be visual displayed, as well as visual thought, can be visual analyzed and can be visual evaluated.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
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