Towards automatic detection of erroneous measurement results in a gravity database
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-cons...
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Published in: | 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236) Vol. 4; pp. 2170 - 2175 vol.4 |
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Main Authors: | , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
2001
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Subjects: | |
Online Access: | Get full text |
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Summary: | 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. |
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ISBN: | 0780370872 9780780370876 |
ISSN: | 1062-922X 2577-1655 |
DOI: | 10.1109/ICSMC.2001.972877 |