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Multidimensional Time Series Fuzzy Association Rules Mining

机译:多维时间序列模糊关联规则挖掘

摘要

In this paper, we present a new solution, in which the fuzziness of both subsequences and subsequences interval has been taken into consideration for solving the problem of multidimensional time series fuzzy association rules mining. Aimed at dealing with the new conception, this paper has put forward some key algorithms of the solution. Finally, an application example of multidimensional time series fuzzy association rules mining is illustrated. The result shows that rules with fuzzy interval can only be mined out by the above-mentioned new method.
机译:在本文中,我们提出了一种新的解决方案,其中考虑了子序列和子序列间隔的模糊性,以解决多维时间序列模糊关联规则挖掘问题。针对这种新概念,本文提出了一些解决方案的关键算法。最后,给出了多维时间序列模糊关联规则挖掘的应用实例。结果表明,具有模糊区间的规则只能通过上述新方法来挖掘。

著录项

  • 作者

    Gao Xuedong; Guo Hongwei;

  • 作者单位
  • 年度 2015
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  • 原文格式 PDF
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