Statistical Analysis and Data Mining
期刊ISSN: 1932-1864
E-ISSN: 1932-1872
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自引率: 5.4%
SCI期刊JCR分区
SCI期刊JCR分区等级:3区
按学科分区
STATISTICS & PROBABILITY
Q3
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Q4
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Q4
最新中科院SCI期刊分区(基础版)
大类学科
工程技术
4区
小类学科
计算机:人工智能
4区
计算机:跨学科应用
4区
统计学与概率论
4区
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最新中科院SCI期刊分区(升级版)
大类学科
计算机科学
4区
小类学科
计算机:人工智能
4区
计算机:跨学科应用
4区
统计学与概率论
4区
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期刊简介
Statistical Analysis and Data Mining addresses the broad area of data analysis, including statistical approaches, machine learning, data mining, and applications. Topics include statistical and computational approaches for analyzing massive and complex datasets, novel statistical and/or machine learning methods and theory, and state-of-the-art applications with high impact. Of special interest are articles that describe innovative analytical techniques, and discuss their application to real problems, in such a way that they are accessible and beneficial to domain experts across science, engineering, and commerce.
出版信息
出版商
Wiley-Blackwell
涉及的研究方向
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
年文章数
61
出版国家或地区
UNITED STATES
是否OA
Cite Score相关
Cite Score SJR SNIP 排名
2.1 0.472 0.776
学科
大类学科:Mathematics
小类学科:Analysis
分区
Q2
学科
大类学科:Mathematics
小类学科:Computer Science Applications
分区
Q3
学科
大类学科:Mathematics
小类学科:Information Systems
分区
Q3
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