首页> 外文会议>2011 International Conference on Research and Innovation in Information Systems >Frequent pattern-based outlier detection measurements: A survey
【24h】

Frequent pattern-based outlier detection measurements: A survey

机译:基于模式的频繁异常值检测测量:一项调查

获取原文

摘要

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:离群值检测是主要的数据挖掘任务之一。在广泛的应用领域中,数据中的异常值比常见的异常值更有意义。最近,研究了一种通过从数据集中发现频繁的模式(或频繁的项目集)来检测离群值的新趋势。在本文中,我们提出了基于频繁模式发现的可用离群值检测测量值的摘要研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号