Wiley Interdisciplinary Reviews-data Mining And Knowledge Discovery

Journal Title：Wiley Interdisciplinary Reviews-data Mining And Knowledge Discovery

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) 通过一系列由顶尖研究人员撰写的评论文章介绍数据挖掘和知识发现的最新进展；(b) 通过收录从数据挖掘和知识发现的不同角度探讨关键主题的文章来捕捉该领域至关重要的跨学科特色，包括技术、商业、医疗保健、教育、政府、社会和文化等各种应用领域；(c) 通过系统的内容更新计划来捕捉数据挖掘和知识发现的快速发展；(d) 通过以广泛受众易于理解的方式介绍该领域的成就和挑战，鼓励人们积极参与该领域。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中的科学家和研究经理有用。

Wiley Interdisciplinary Reviews-data Mining And Knowledge Discovery创刊于2011年，由John Wiley and Sons Inc.出版商出版，收稿方向涵盖COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - COMPUTER SCIENCE, THEORY & METHODS全领域，此刊是该细分领域中属于非常不错的SCI期刊，在行业细分领域中学术影响力较大，专业度认可很高，所以对原创文章要求创新性较高，如果您的文章质量很高，可以尝试。平均审稿速度 12周，或约稿 ，影响因子指数6.4，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。