摘要
数据库在舰载信息系统中使用的越来越多,从大量的数据中提取有价值的海战信息,是舰载信息系统追求的目标之一。而数据挖掘(DM)技术是知识发现KDD的一个关键步骤,将DM技术应用于舰载信息系统有着重要的现实意义。本文对典型的数据挖掘过程模型进行了介绍,阐述其组成结构及各部分主要功能,着重分析了该技术在舰载信息系统中的应用和目前应用该技术存在的问题。
Data mining (DM) technique is a key step of KDD (Knowledge Discovery in Database). Its quick development and wide use in other fields give us inspirations. More and more database has been used in C^4ISR; obtaining valuable warfare information from VLDB (Very Large Database) is one of the main tasks that C^4ISR pursue. So, using DM technique in warship C^4ISR has important significance. A typical data mining process model is introduced, and its structure and main function about each component are expounded. This paper also analyzes how and where to use DM techniques in warship C^4ISR - include obtain information dominant, C^4ISR design, identification friend or foe and C^4ISR fault detection and diagnosis, etc. The problems that we use this technique will face are put forward at last.
出处
《舰船科学技术》
北大核心
2005年第4期62-65,共4页
Ship Science and Technology
关键词
数据挖掘
舰栽信息系统
信息优势
流数据挖掘
data mining
C^4ISR of warship
information dominant
flowing data mining