Wiley 跨学科评论——数据挖掘和知识发现 SCIESCI

期刊简介预计审稿时间：>12周，或约稿

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.

WIREs DMKD 的目标是 (a) 通过领先研究人员撰写的一系列评论来展示当前数据挖掘和知识发现的艺术水平，(b) 通过包括从数据挖掘和知识发现的不同角度讨论关键主题的文章，包括技术、商业、医疗保健、教育、政府和社会和文化中的各种应用领域，(c) 捕捉数据挖掘和知识的快速发展通过系统的内容更新计划进行发现，以及 (d) 通过以易于理解的方式向广大受众展示其成就和挑战，鼓励积极参与这一领域。 WIREs DMKD 的内容将对高年级本科生和研究生、学术课程的教学和研究教授以及行业的科学家和研究经理有用。

《Wiley Interdisciplinary Reviews-data Mining And Knowledge Discovery》(Wiley 跨学科评论——数据挖掘和知识发现)编辑部通讯方式为ONE MONTGOMERY ST, SUITE 1200, SAN FRANCISCO, USA, CA, 94104。如果您需要协助投稿或润稿服务，您可以咨询我们的客服老师。我们专注于期刊投稿服务十年，熟悉发表政策，可为您提供一对一投稿指导，避免您在投稿时频繁碰壁，节省您的宝贵时间，有效提升发表机率，确保SCI检索（检索不了全额退款）。我们视信誉为生命，多方面确保文章安全保密，在任何情况下都不会泄露您的个人信息或稿件内容。