期刊
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
卷 1, 期 3, 页码 261-268出版社
WILEY PERIODICALS, INC
DOI: 10.1002/widm.19
关键词
-
Outlier detection is an area of research with a long history which has applications in many fields. This article provides a nontechnical and concise overview of the commonly used approaches for detecting outliers, including classical methods, new challenges posed by real-world massive data, and some of the key advances made in recent years. (C) 2011 John Wiley & Sons, Inc. WIREs Data Mining Knowl Discov 2011 1 261-268 DOI: 10.1002/widm.19
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据