期刊文献+

数据挖掘技术在炮阵地选择中的应用 被引量:4

Applications of Data Mining Technique to Artillery Position Selection
下载PDF
导出
摘要 根据炮兵阵地地形选取的要求,从地理信息系统出发,运用人工智能、数据挖掘、多媒体等技术,提出了炮兵阵地选取的空间数据挖掘模型,为炮兵阵地选取的计算机实现提供了一种有效的解决方案,使指挥员能快速从复杂的地域信息中找到适用于炮阵地所需的地形信息,为炮兵自动化指挥系统提供了决策与支持。 According to the requirements in the topographical selection for the artillery position and based on the viewpoint of geographical information system,a new model of data mining for artillery position selection is put forward.The model makes use of artificial intelligence,data mining and multimedia technology etc.That supplies an effective scheme for the computer realization of the artillery position selection.The model enables the command-decision-maker to find readily the needed topography information satisfying the artillery position from the complex regional information,and provides a artillery automatic command system with the necessary decision support.
作者 贾建武
机构地区 西安陆军学院
出处 《火力与指挥控制》 CSCD 北大核心 2005年第1期107-109,112,共4页 Fire Control & Command Control
关键词 炮兵阵地 军事原则 挖掘模型 数据挖掘 决策支持 artillery position,military principles,mining model,data mining,decision support
  • 相关文献

参考文献4

  • 1邸凯昌,李德仁,李德毅.从空间数据库发现聚类:一种基于数学形态学的算法[J].中国图象图形学报(A辑),1998,3(3):173-178. 被引量:10
  • 2总参谋部.军事地形学[M].北京:解放军出版社,1997..
  • 3车延连 孙振修.炮兵作战模拟理论及设计原理[M].北京:国防大学出版社,2000..
  • 4(加)JiaweiH 著 范明 孟小峰 译.Data Mining Concepts and Techniques[M].北京:机械工业出版社,2001..

二级参考文献9

  • 1Frawley W. Piatesky-Shapiro G, Matheus C, Knowledge Discovery in Databases: An Overview,In Piatesky-Shapiro G. and Frawley W (Ed.), Knowledge Discovery in Databases, AAAI/MIT Press.
  • 2Platesky-Shapiro G.An Overview of Knowledge Discovery in Databases: Recent Progress and Challenges, In W. P. Ziarko(Ed.), Rough Sets, Puzzy Sets and Knowledge Discovery,Springer Verlag, 1994.
  • 3Han J. Data Mining Techniques. ACM-SIGMOD'96 Conf. Tutorial, June, 1996.
  • 4Koperski K. Adhihary J. Han J.Spatial Data Mining Progress and Challenges. SIGMOD'96 Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'96),Montreal, Canada, June, 1996.
  • 5邸凯昌,李德仁.KDD技术及其在GIS中的应用与扩展.中国GIS协会第二届年会,北京,1996.
  • 6邸凯昌,李德仁,李德毅.空间数据发掘和知识发现的框架.第十届全国遥感技术学术交流会,青岛.1997.
  • 7Ester M.et al.A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise, Proc. 2nd Int.Conf.on Knowledge Discovery and Data Mining, Portland,USA, 1996.
  • 8Ng R T.Han J. Efficient and Effective Clustering Methods for Spatial Data Mining, Proc. of the 20th VLDB Conf. Santiago.Chile, 1994.
  • 9Ester M. et al.A Database Interface for Clustering in Large Spatial Databases, Proc.1st Int. Conf. on Knowledge Discovery and Data Mining. Montreal, Canada, 1995.

共引文献14

同被引文献33

引证文献4

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部