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›› 2004, Vol. 30 ›› Issue (02): 11-.

• 论文 • 上一篇    下一篇

惯性仪器测试标定数据库的数据挖掘技术

刘洁瑜,钱培贤   

  1. 西安交通大学电信学院信息与通信工程系,西安第二炮兵工程学院 301教研室 西安 710049
  • 发布日期:2004-01-25

Data Mining Techniques in the Testing & Calibrating Database of Inertia Instruments

LIU Jieyu1, QIAN Peixian2   

  1. (1. Department of Information and Communication Engineering, School of Electronics and Information, Xi'an Jiaotong University, Xi'an 710049; 2. The Second Artillery Engineering College, Xi'an 710025)
  • Published:2004-01-25

摘要: 数据挖掘技术的发展,为解决惯性领域内“数据丰富知识贫乏”的状况提供了一条有效途径。针对惯性仪器标定测试数据库本身的特点,提出了对该数据库进行基本知识发现的有效方法,并将知识发现方法与背景知识紧密结合。

关键词: 数据挖掘, 惯性仪器, 数据库

Abstract: The development of DM techniques offers an effective way to solve the status that data is rich but information is poor in the domain of inertia. Aiming at the characteristics of the testing & calibrating database of inertia instruments, effective DM methods are brought forward, which are for base information of the database and are combined with the background information tightly.

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