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

来源：

2001 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: E-SYSTEMS AND E-MAN FOR CYBERNETICS IN CYBERSPACE | 2002年

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

页码：2170 / 2175

页数：6

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