Implementation of Data Mining in Sluice Safety Monitoring

Abstract:

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This paper presents detailed technique and steps of data mining in sluice safety monitoring according to the monitoring data’s features. The tasks and objectives of data mining are defined and converted into the knowledge which can be realized by certain algorithm. The methods of data preprocessing is also discussed to eliminate or reduce redundant, noise, incomplete and inconsistent data. The examples of data preprocessing and data mining show how to apply the data mining technology in the sluice safety monitoring filed, which results indicate that the method presented in this paper is effective and can be used in other projects.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

4329-4332

DOI:

10.4028/www.scientific.net/AMM.71-78.4329

Citation:

G. Q. Yu et al., "Implementation of Data Mining in Sluice Safety Monitoring", Applied Mechanics and Materials, Vols. 71-78, pp. 4329-4332, 2011

Online since:

July 2011

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Price:

$35.00

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