Definition and mining of quasi-cyclical patterns in agroclimatic data

机译：农业气候数据中准周期性模式的定义和挖掘

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Mining patterns in the association rules form are important to extract knowledge in multidimensional datasets. Several patterns occur in an approximately cyclical (quasi-cyclical) form in the nature and the variations of these cycles hinders the application of the traditional pattern mining techniques. The literature methods identify only common cycles. In this work, we presents the formal definition of quasi-cyclical pattern concept and we develop a method for cyclical and quasi-cyclical patterns mining. We conducted experiments using quantitative temporal databases to demonstrate that our temporal rules mining technique achieve satisfactory results.

机译：关联规则形式的挖掘模式对于提取多维数据集中的知识很重要。自然界中，几种模式以近似周期性（准周期性）的形式出现，这些周期的变化阻碍了传统模式挖掘技术的应用。文献方法仅识别常见的循环。在这项工作中，我们提出了准循环模式概念的正式定义，并开发了一种用于循环和准循环模式挖掘的方法。我们使用定量时态数据库进行了实验，以证明我们的时态规则挖掘技术取得了令人满意的结果。

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《International conference on artificial intelligence》|2015年|585-591|共7页
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Geise K. S. Santos; Tercio A. Santos Filho; Marcos A. Batista; Sergio F. da Silva;
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Cyclical patterns; quasi-cyclical patterns; association rules;

机译：循环模式;准周期性模式;关联规则;

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Definition and mining of quasi-cyclical patterns in agroclimatic data

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