Water Consumption Analysis System Based on Data Mining

Article Preview

Abstract:

As knowledge discovery in databases, data mining means a process of extraction potentially useful information from data in databases, which can be applied to information management, query processing, decision making, process control etc. Those are urgently needed to improve efficient management in water supply industry, since water has been recognized by governments worldwide as a scarce resource. In response to such demand, this paper proposes a software application, which designed to accessing to database, operating the data mining, and output the results and charts. We analyzed the different prediction models and designed the water consumption system, which has two functions of analysis of possible correlations between the water consumption and nature of the industry and prediction on future water consumption. As the system built, the paper provides samples and produces the results and analysis.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1093-1097

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Rolf H. Weber, Internet of things-Need for a legal environment? COMPUTER & SECURITY REVIEW 25(2009) 522-527.

DOI: 10.1016/j.clsr.2009.09.002

Google Scholar

[2] Park, J.Y., 2007, The supply-driven input-output Model: A New Reinterpretation and Extension, Presented at 46thAnnual Meeting of the Western Regional Science Association, Newport Beach, CA, USA, February 21-24.

Google Scholar

[3] Weiqing Yang, Lan Gu, Time series analysis and dynamic data modelling, (1998).

Google Scholar

[4] Xiaojuan Zhang, Study on Data Mining Technology's Application in Water Resources, May (2007).

Google Scholar