Statistical data mining

被引：5
作者：
Banks, David L. [1 ]
机构：
[1] Duke Univ, Inst Stat & Decis Sci, Durham, NC 27708 USA
来源：
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS | 2010年 / 2卷 / 01期
关键词：
classification; clustering; machine learning; nonparametric regression; random forests; support vector machines;
D O I：
10.1002/wics.53
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Data mining is widely used in modern science to extract signal from complex data sets. This article summarizes some of the key intellectual issues in the development of this field, largely from a historical perspective. There is particular emphasis on the Curse of Dimensionality, and its implications for non-parametric regression, classification, and cluster analysis. (C) 2009 John Wiley & Sons, Inc.
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收藏
页码：9 / 25
页数：17
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