Information understanding: Integrating data fusion and data mining processes

被引：0
|
作者：
Waltz, EL [1 ]
机构：
[1] ERIM Int, Ann Arbor, MI 48105 USA
来源：
ISCAS '98 - PROCEEDINGS OF THE 1998 INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-6 | 1998年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Data fusion and data mining are complementary processes that contribute abductive-inductive (learning and discovery) and deductive (detection) capabilities. Not to be confused with each other, the processes offer distinct and reciprocal capabilities that, once integrated, provide powerful tools for improving the automatic recognition of targets by complex, non-literal signatures from multiple sources. ERIM International is developing and applying this integrated technology to improve the performance of traditional data fusion processes.
引用
收藏
页码：E553 / E556
页数：4
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