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教师基本信息
徐晓丹
性别:女
在职信息:在岗

个人信息 Personal information

职称:讲师 毕业院校:浙江工业大学 在职信息:在岗 所在单位:计算机科学与技术学院 入职时间:2000-08-01

A Comparison of Outlier Detection Techniques for High-Dimensional Data

点击次数: 第一作者:Xu, Xiaodan 发表时间:2018-01-01 发表刊物:INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS 所属单位:数理与信息工程学院 文献类型:期刊 卷号:Vol.11 期号:No.1 页面范围:652-662 ISSN号:1875-6891 关键字:data mining;outlier detection;high-dimensional data;evaluation measurement 摘要:Outlier detection is a hot topic in machine learning. With the newly emerging technologies and diverse applications, the interest of outlier detection is increasing greatly. Recently, a significant number of outlier detection methods have been witnessed a 是否译文:
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