A dynamic data fusion method and its application

被引：0

作者：

Wu, Rongchun ^{[1
]}

Zhang, Fengli ^{[2
]}

机构：

[1] University of Electronic Science and Technology, School of Computer Science, Police Academy, Chengdu 610213, Sichuan, China

[2] University of Electronic Science and Technology, School of Computer Science, Chengdu 610054, Sichuan, China

来源：

Journal of Theoretical and Applied Information Technology | 2012年 / 46卷 / 01期

关键词：

Sensor data fusion - Data mining;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. © 2005 - 2012 JATIT & LLS. All rights reserved.

引用

页码：170 / 175