Application of Data Mining Method Based on Rough Set Theory in Cement Decomposing Furnace

被引:0
作者
Qu, Shou-ning [1 ]
Liu, Jing [2 ]
Xue, Yan-bo [2 ]
Wu, Bo [2 ]
机构
[1] Univ Jinan, Network Informat Ctr, Jinan, Peoples R China
[2] Univ Jinan, Sch Informat Sci & Engn, Jinan, Peoples R China
来源
ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL II, PROCEEDINGS | 2009年
关键词
rough set; decision-making system; attribute reduction; decomposing furnace; rule extraction;
D O I
10.1109/ICICTA.2009.379
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper firstly introduced the current status of Chinese flow industry, some difficulties to extract control rules in the course of modern industrial production, and then the paper presented a set of scheme about data mining method based on rough set theory, the algorithm avoided the defects of previous association rule mining, and reduced the computationally efficient obviously. The scheme was put into effect by extracting control rules of decomposing furnace outlet's temperature in the course of cement production. The system designed by above-mentioned way achieves a satisfying effect by experimental verification. The results in this paper show that the scheme has merits such as rationality, effectiveness and improving executive efficiency.
引用
收藏
页码:600 / +
页数:2
相关论文
共 50 条
[31]   Granular Computing Based Data Mining in the Views of Rough Set and Fuzzy Set [J].
Farhang, Yousef ;
Shamsuddin, Siti Mariyam ;
Fattahi, Haniyeh .
INFORMATICS ENGINEERING AND INFORMATION SCIENCE, PT II, 2011, 252 :624-629
[32]   Research and Application on E-Commerce Enterprise Web Data Mining Based on Rough Set [J].
Wei, Jianping .
2010 INTERNATIONAL CONFERENCE ON INFORMATION, ELECTRONIC AND COMPUTER SCIENCE, VOLS 1-3, 2010, :1090-1093
[33]   Attribute Reduction for Massive Data Based on Rough Set Theory and MapReduce [J].
Yang, Yong ;
Chen, Zhengrong ;
Liang, Zhu ;
Wang, Guoyin .
ROUGH SET AND KNOWLEDGE TECHNOLOGY (RSKT), 2010, 6401 :672-678
[34]   A Dimensionality Reduction Based On Rough Set Theory for Complex Massive Data [J].
Dai Zhe ;
Liu Jianhui .
2015 8TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), 2015, :1520-1524
[35]   Data mining method of road transportation management information based on rough set and association rule [J].
Zheng, Xiao-Feng ;
Wang, Shu .
Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2014, 42 (02) :132-138
[36]   Key parameter mining method of AVC system based on rough set driven by historical data [J].
Chen G. ;
Huang Y. ;
Zhang Y. ;
Hao S. ;
Zhang Y. ;
Lü G. .
Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2020, 40 (06) :210-217
[37]   A Service Ranking Method based on Rough Set Theory [J].
Li, Fei ;
Hu, Wensheng .
EPLWW3S 2011: 2011 INTERNATIONAL CONFERENCE ON ECOLOGICAL PROTECTION OF LAKES-WETLANDS-WATERSHED AND APPLICATION OF 3S TECHNOLOGY, VOL 2, 2011, :213-216
[38]   Method of scores analysis based on Rough Set Theory [J].
Tang, Q ;
Li, XP ;
Liu, J .
2005 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2, 2005, :259-261
[39]   DATA MINING TECHNIQUES FOR TEACHING RESULT ANALYSIS USING ROUGH SET THEORY [J].
Ramasubramanian, P. ;
Iyakutti, K. ;
Thangavelu, P. ;
Jeya, G. Jagadeeswari ;
Begam, S. Shameera .
ICCN: 2008 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING, 2008, :130-+
[40]   Incomplete Concept Lattice Data Analytical Method Research Based on Rough Set Theory [J].
Wang, Jinpeng ;
Liu, Baoxiang ;
Li, Zhendong ;
Feng, Lichao .
INTELLIGENT STRUCTURE AND VIBRATION CONTROL, PTS 1 AND 2, 2011, 50-51 :180-+