Water Quality Data Analysis Based on Cluster Algorithm

Jun Ou; Shu Qing Li

doi:10.4028/www.scientific.net/AMM.496-500.1919

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 496-500Water Quality Data Analysis Based on Cluster...

Water Quality Data Analysis Based on Cluster Algorithm

Abstract:

In this paper, it has introduced cluster analysis of data mining algorithms in detail. Hierarchical clustering and partitioning method are emphasized. The principles of mathematics are elaborated. The monitoring system of water environment is composed of data collection, data transmission, data storage and data reasoning components. Cluster analysis applies to the data storage behavior. With the analysis, the key elements determining the water quality level are modeled easily. The modeling tools has created good quality information module, defining classes and attributes. It has reduced the database storage, analysis workload and prepared for effective ontology analysis.

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Periodical:

Applied Mechanics and Materials (Volumes 496-500)

Pages:

1919-1922

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.496-500.1919

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Cite this paper

Online since:

January 2014

Authors:

Jun Ou, Shu Qing Li*

Keywords:

Cluster Algorithm, Ontology, Water Quality Data

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* - Corresponding Author

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