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