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Abstract
Accidents to pipelines have been recorded and they often result in catastrophic consequences for environment and society with a great deal of economic loss. Standard methods of evaluating pipeline risk have stressed index-based and conditional based data assessment processes. Data mining represents a shift from verification-driven data analysis approaches to discovery-driven methods in risk assessment.
Original document
The different versions of the original document can be found in:
- http://download.atlantis-press.com/php/download_paper.php?id=5099 under the license cc-by
- https://www.atlantis-press.com/proceedings/iccsee-13/5099,
- https://academic.microsoft.com/#/detail/2001485629
DOIS: 10.4028/www.scientific.net/amm.347-350.2168 10.2991/iccsee.2013.668
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Published on 01/01/2013
Volume 2013, 2013
DOI: 10.4028/www.scientific.net/amm.347-350.2168
Licence: Other
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