摘要
数据融合技术能利用不同传感数据的冗余信息实现互补以提高信息处理的正确性 ;数据挖掘技术能从大量数据中挖掘和发现有价值和隐含的知识 ,用于建模和优化。本文研究结合数据融合和数据挖掘技术的信息智能处理平台 ,阐述了其功能和组成、知识表达和建模、知识推理和决策 ,并介绍了其在目标检测识别和医疗监护等领域的应用。
Data fusion can improve the correctness of information processing based on complementary information from different sensors. Data mining can mine and discover valuable and hidden knowledge from databases for modeling and optimization. This paper studies on a platform for intelligent information processing by combining data fusion and data mining. The functions and composition of the platform, knowledge representation and modeling, inference and decision making, applications in object detection and family medical ward are presented.
出处
《高技术通讯》
EI
CAS
CSCD
2003年第1期57-61,共5页
Chinese High Technology Letters
基金
86 3计划 ( 86 3- 5 11 -945- 0 0 5
86 3 -30 6 - ZD13 -0 5 - 6 )资助项目。
