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
相关论文
共 50 条
  • [1] A data mining algorithm based on rough set theory
    Zhou, CL
    Li, ZG
    Meng, YJ
    Meng, QL
    [J]. ICIA 2004: Proceedings of 2004 International Conference on Information Acquisition, 2004, : 413 - 416
  • [2] Design and implementation of commerce data mining system based on Rough Set theory
    Xiang, Y
    Wu, WY
    Mao, HR
    Song, QW
    [J]. ICEBE 2005: IEEE INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING, PROCEEDINGS, 2005, : 258 - 265
  • [3] Data mining and rough set theory
    Grzymala-Busse, JW
    Ziarko, W
    [J]. COMMUNICATIONS OF THE ACM, 2000, 43 (04) : 108 - 109
  • [4] The research of data mining approach based on rough set theory
    Zheng, Liying
    Li, Yongchang
    Liu, Liyan
    [J]. INFORMATION, MANAGEMENT AND ALGORITHMS, VOL II, 2007, : 97 - 101
  • [5] XML Data Mining Model based on Rough Set Theory
    Li Weiping
    Yang Jie
    Wang Gang
    [J]. MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 3446 - +
  • [6] Optimization of Data Mining in CRM Based on Rough Set Theory
    Jiang Hua
    Cui Zhenxing
    [J]. 2009 INTERNATIONAL FORUM ON INFORMATION TECHNOLOGY AND APPLICATIONS, VOL 3, PROCEEDINGS, 2009, : 252 - +
  • [7] Routing attribute data mining based on rough set theory
    Liu, YB
    Tang, H
    Wang, MH
    Sun, SX
    [J]. ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS, 2005, 3584 : 276 - 283
  • [8] Study on Incremental Data Mining based on Rough Set Theory
    Lv, ShanGuo
    Chen, HongLi
    [J]. 2010 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY AND SECURITY INFORMATICS (IITSI 2010), 2010, : 101 - 104
  • [9] Rough set theory with applications to data mining
    Grzymala-Busse, JW
    [J]. REAL WORLD APPLICATIONS OF COMPUTATIONAL INTELLIGENCE, 2005, 179 : 223 - 244
  • [10] An Knowledge Reduction Algorithms in Data Mining Based on Rough Set Theory
    Liu Tieying
    Jia Ru
    Ye Jianchun
    [J]. ADVANCES IN MANAGEMENT OF TECHNOLOGY, PT 1, 2009, : 562 - +
12345