Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
期刊ISSN: 1942-4787
E-ISSN: 1942-4795
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自引率: 1.3%
SCI期刊JCR分区
SCI期刊JCR分区等级:1区
按学科分区
COMPUTER SCIENCE, THEORY & METHODS
Q1
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Q1
最新中科院SCI期刊分区(基础版)
大类学科
工程技术
2区
小类学科
计算机:人工智能
3区
计算机:理论方法
2区
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综述期刊
最新中科院SCI期刊分区(升级版)
大类学科
计算机科学
2区
小类学科
计算机:理论方法
2区
计算机:人工智能
3区
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期刊简介
The objectives of WIREs DMKD are to (a) present the current state of the art of data mining and knowledge discovery through an ongoing series of reviews written by leading researchers, (b) capture the crucial interdisciplinary flavor of the field by including articles that address the key topics from the differing perspectives of data mining and knowledge discovery, including a variety of application areas in technology, business, healthcare, education, government and society and culture, (c) capture the rapid development of data mining and knowledge discovery through a systematic program of content updates, and (d) encourage active participation in this field by presenting its achievements and challenges in an accessible way to a broad audience. The content of WIREs DMKD will be useful to upper-level undergraduate and postgraduate students, to teaching and research professors in academic programs, and to scientists and research managers in industry.
出版信息
出版商
John Wiley and Sons Inc.
涉及的研究方向
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS
年文章数
40
出版国家或地区
ENGLAND
是否OA
Cite Score相关
Cite Score SJR SNIP 排名
21 2.901 5.662
学科
大类学科:Computer Science
小类学科:General Computer Science
分区
Q1
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