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复杂系统控制对象之间耦合关联度的数据挖掘

Data Minging of Coupling Association Degree among the Controlled Objects In Complicated System
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摘要 针对工业控制中的复杂系统,提出了控制对象之间耦合关联度的数据挖掘思路和算法,最后结合实例给出结论。 Aim at complicated system of industrial control, proposes thoughts and algorithms of data mining of coupling association degree among varies controlled objects, and conclusion combined with instance will be given.
作者 赵晨 诸静
出处 《电气自动化》 北大核心 2003年第6期27-28,31,共3页 Electrical Automation
关键词 工业控制 数据挖掘 控制对象 复杂系统 耦合关联度 Data Mining Sequential Patterns Coupling Association
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参考文献5

  • 1R. Agrawal, T. Imielinski, and A. Swami. Mining association rules between sets of items in large databases. Proceedings of the ACM SIGMOD Conference on management of data, pp. 207-216,1993
  • 2Fayyad U M, Piatetaky-Shapiro G, Smyth P. Advance in knowledge discover and data mining. California: AAAI Press, The MIT Press, 1996.1-25
  • 3Srikent R, Agrawal. H. Mining quantitative association rules in large relational table, In: Carey M, Sehacider D, cds. Proceedings of the ADMSIGMOD Conference on Managerment of Data. New York: ACM Press, 1996. 1-12
  • 4Robert Groth. Data mining: building competitive advantage. New Jensey: Prentice Hall PTR, 2000. 28- 30
  • 5R. Srikant, R. Agrawal. Mining Sequential Patterns. Generalizations and Performance Improvements. EDBT-96, Avignon, France, March 1996

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