DocumentCode
3413977
Title
Data mining in multisensor system based on rough set theory
Author
Han, Bin ; Wu, Tie-Jun
Author_Institution
Inst. of Intelligent Syst. & Decision Making, Zhejiang Univ., Hangzhou, China
Volume
6
fYear
2001
fDate
2001
Firstpage
4427
Abstract
We discuss how data fusion and data mining are mutually supportive in multisensor systems and, with an illustrative example, we show the 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, a 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
Keywords
data mining; entropy; probability; rough set theory; sensor fusion; data fusion; data mining; entropy; environment pollution monitoring; multisensor system; probability; rough set theory; Chemicals; Data mining; Entropy; Monitoring; Multisensor systems; Object detection; Pollution; Power system modeling; Probability; Set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2001. Proceedings of the 2001
Conference_Location
Arlington, VA
ISSN
0743-1619
Print_ISBN
0-7803-6495-3
Type
conf
DOI
10.1109/ACC.2001.945675
Filename
945675
Link To Document