Data mining in multisensor system based on rough set theory

被引：0
|
作者：
Han, B [1 ]
Wu, TJ [1 ]
机构：
[1] Zhejiang Univ, Natl Lab Ind Control Technol, Inst Intelligent Syst & Decis Making, Hangzhou 310027, Peoples R China
来源：
PROCEEDINGS OF THE 2001 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2001年
关键词：
multisensor system; data fusion; data mining; rough set; entropy analysis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we discuss how data fusion and data mining are mutually supportive in multisensor systems and, with an illustrative example, we show Rough Set theory is a powerful tool to inducing rule-based object models for a data fusion system used in environment pollution monitoring. The entropy theory is employed to analyze the attribute sets. Also Rough probability model is introduced to mine the statistical information hidden in the information table. They all show promising future in processing the data coming from the data fusion system.
引用
收藏
页码：4427 / 4431
页数：5
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