Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

译名:威利跨学科评论-数据挖掘与知识发现

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

EISCIE中科院3区

2025

影响因子区间

平台估算

投稿周期

15%

2025

中国作者发文占比

3150 CHF

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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.

【译文】WIREs DMKD 的目标是(a)通过由领先研究人员撰写的持续系列评论,展示数据挖掘和知识发现领域的当前技术水平,(b)通过包括从数据挖掘和知识发现的不同视角探讨关键主题的文章,捕捉该领域的跨学科特色,涵盖技术、商业、医疗保健、教育、政府和社会文化等各个应用领域,(c)通过内容更新计划系统地捕捉数据挖掘和知识发现领域的快速发展,以及(d)通过以易于理解的方式向广大受众展示该领域的成就和挑战,鼓励该领域的积极参与。WIREs DMKD 的内容将对高级本科生、研究生、学术项目中的教学和研究教授以及工业界的科学家和研究经理都有用。

出版社
Wiley
语言
English
学科
计算机科学
ISSN
1942-4795
eISSN
1942-4787
出版频率
双月刊
创刊年份
2010
投稿网址
https://wires.onlinelibrary.wiley.com/loi/19424795
最近更新
2026-04-02 18:16:40
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

指标当前值近三年趋势
中科院分区3区
暂无