摘要
数据耕种技术是用于研究和分析战争复杂系统的一种新方法,它是美国海军陆战队作战实验室Albert计划中专门研究和发展的核心技术,目前已成为国内外战争复杂系统领域研究的热点之一。首先针对现代战争系统运筹分析面临的挑战,分析并论述了数据耕种产生的背景;之后,对数据耕种的概念进行了解析,并在其基础上对比分析了数据耕种与数据挖掘的异同点;论述了数据耕种的步骤,围绕步骤划分阐述了数据耕种的过程;最后,结合数据耕种的过程,对数据耕种技术组成进行了分析。
Data farming is a new method for researching and analyzing war complex system,which is the key technology for developing and researching in the Marine Corps Warfighting Laboratory's Project Albert.It has been one of research hotspots in war complex system field at present time.Firstly,in view of the challenges which modern war system operations research was confronted with,the backgrounds of data farming were analyzed and dissertated.Then,the data farming concept was explained and analyzed,based on which the similarities and differences between data farming and knowledge discovery in database were also analyzed.The steps of data farming were discussed,around which the data farming process was expatiated on.Finally,combined with the step of data farming,an analysis on the technology composition of data farming was given.
出处
《计算机仿真》
CSCD
2008年第7期1-4,69,共5页
Computer Simulation
关键词
作战模拟
数据耕种
战争复杂系统
Combat simulation
Data farming
War complex system