Towards automatic detection of erroneous measurement results in a gravity database

被引:0
|
作者
Wen, Q [1 ]
Gates, AQ [1 ]
Beck, J [1 ]
Kreinovich, V [1 ]
Keller, GR [1 ]
机构
[1] Univ Texas, NASA, Pan Amer Ctr Earth & Environm Studies, El Paso, TX 79968 USA
关键词
gravity database; erroneous measurement; automatic detection;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Geospatial databases often contain erroneous measurements. For some such databases such as gravity databases, the known methods of detecting erroneous measurements - based on regression analysis - do not work well. As a result, to clean such databases, experts use manual methods which are very time-consuming. In this paper, we propose a (natural) "localized" version of regression analysis as a technique for automatic cleaning. We illustrate the efficiency of this technique on the example of the gravity database.
引用
收藏
页码:2170 / 2175
页数:6
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