DocumentCode :
2293225
Title :
The Study of Fusing the Data Facing Environment Monitoring
Author :
Bin, Shao ; Yunliang, Jiang ; Yuan, Zhang
Author_Institution :
Sch. of Inf. Eng., Huzhou Teachers Coll., Huzhou
fYear :
2008
fDate :
22-24 Sept. 2008
Firstpage :
691
Lastpage :
695
Abstract :
Although the data fusion and data mining belong to the data processing technology, former researchers combine these technologies quite a few. In fact these technologies are nearly correlative, and both serve the goal of the knowledge detects. The target of data fusion is forming the data foundation of data mining, and the target of data mining is extracting the useful knowledge in the foundation of above data, to complete the knowledge detection. Therefore, our research´s aim is combining the two technologies, designs the valid algorithm to carry on the data mining in the foundation of data fusion, mainly on the artificial intelligence theory and the Bayes method, excavates the valid information in the data of environmental monitoring as far as possible.
Keywords :
Bayes methods; data mining; environmental science computing; sensor fusion; Bayes method; artificial intelligence theory; data fusion; data mining; environmental monitoring; knowledge detection; Data engineering; Data mining; Data processing; Educational institutions; Electronic mail; Feedback; Lakes; Monitoring; Object oriented modeling; Unified modeling language; data fusion; data mining; environmental monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyberworlds, 2008 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-3381-0
Type :
conf
DOI :
10.1109/CW.2008.130
Filename :
4741379
Link To Document :
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