Implementation of Data Mining in Sluice Safety Monitoring

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 71-78)
• Pages: 4329-4332
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.71-78.4329
• Online since: July 2011
• Authors: Guo Qing Yu, Zi Li Wang, Zhi Zong Tian, Bao Sen Zhang
• Keywords: Data Mining (DM), Data Preprocessing, Safety Monitoring, Sluice, Yellow River

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