WMEVF:一种分类数据的离群值检测方法

2016 International Conference on Informatics and Computing (ICIC) Pub Date : 1900-01-01 DOI:10.1109/IAC.2016.7905686

N. Rokhman, Subanar, E. Winarko

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引用次数: 3

摘要

异常值是现实生活中不常见的事件。对于数据库处理，异常值表示与其他记录相比不寻常的记录。异常值可能由系统损坏、系统中的入侵者或系统中的新事实引起。异常点检测是发现异常数据的一项重要任务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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WMEVF: An outlier detection methods for categorical data

Outliers are uncommon events in real life. For a database processing, an outlier means unusual record comparing to the others. An outlier can be caused by a damage to a system, an intruder in a system, or a new fact in a system. Outlier detection is an important task to find an exceptional data.

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来源期刊

2016 International Conference on Informatics and Computing (ICIC)

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