DocumentCode :
690442
Title :
The Research of Water Quality Information Mining Based on Pareto Law and Information Entropy
Author :
Yuting Bai ; Shimin Wang
Author_Institution :
Sch. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
fYear :
2013
fDate :
14-15 Dec. 2013
Firstpage :
723
Lastpage :
727
Abstract :
For the issues of water resources management, it has an important practical significance to apply data analysis and mining in it. The paper discussed the strategies of water quality information mining by using the basic principle of Pareto law, from the water quality, facilities and network information content, organization and personnel. It also made a quantitative analysis of the importance of the information using the information entropy theory. It can realize the goal of water quality information scientific mining and management by using Pareto law and information entropy synthetically.
Keywords :
Pareto analysis; data analysis; data mining; entropy; environmental science computing; water quality; water resources; Pareto law; data analysis; information entropy theory; network information content; personnel; water facilities; water organization; water quality information scientific mining; water resources management; Educational institutions; Entropy; Information entropy; Information services; Organizations; Water pollution; Water resources; Pareto law; information entropy; information mining; water quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Sciences and Applications (CSA), 2013 International Conference on
Conference_Location :
Wuhan
Type :
conf
DOI :
10.1109/CSA.2013.174
Filename :
6835700
Link To Document :
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