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Frequent pattern-based outlier detection measurements: A survey

机译:基于模式的基于模式的异常检测测量:调查

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Outlier detection is one of the main data mining tasks. The outliers in data are more significant and interesting than common ones in a wide variety of application domains. Recently, a new trend for detecting the outlier by discovering frequent patterns (or frequent itemsets) from the data set has been studies. In this paper, we present a summarization study of the available outlier detection measurements which are based on the frequent patterns discovery.
机译:异常值检测是主要数据挖掘任务之一。数据中的异常值比各种应用域中的常见域更为显着和有趣。最近,通过发现来自数据集的频繁模式(或频繁项目集)来检测异常的新趋势已经研究。在本文中,我们概述了基于频繁模式发现的可用异常检测测量的摘要研究。

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