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
2025
影响因子区间
—
平台估算
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。

| 指标 | 当前值 | 近三年趋势 |
|---|---|---|
| 中科院分区 | 3区 | 暂无 |