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A dynamic data fusion method and its application.
Author(s):
1. Rongchun Wu: University of Electronic Science and Technology School of Computer Science, Police Academy, Chengdu 610213, Sichuan, China
2. Fengli Zhang: University of Electronic Science and Technology School of Computer Science, Chengdu 610054, Sichuan, China
Abstract:
Data fusion involves multi-sources or multi-presentations of a single source to perform inferences which are more comprehensive and accurate than those of any single method. Thus, data fusion makes it possible to create a synergistic process in which the consolidation of individual data creates a combined resource with a productive value greater than the sum of its parts. While considerable research has been done on data fusion in the past, most of them performed in the field of multi-sensor fusion. There has been relatively less work conducted in a data mining context. As the form factor of computing and communicating devices shrinks and the capabilities of such devices continue to grow, it has become reasonable to imagine applications that require rich computing resources today becoming viable candidates for future sensor networks.
Page(s): 170-175
DOI: DOI not available
Published: Journal: Journal of Theoretical and Applied Information Technology, Volume: 46, Issue: 1, Year: 2012
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