Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

The goals of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery (WIREs DMKD） are multifaceted. Firstly, the journal aims to provide a comprehensive overview of the current state of data mining and knowledge discovery by featuring ongoing reviews authored by leading researchers. Secondly, it seeks to highlight the interdisciplinary nature of the field by presenting articles from diverse perspectives, covering various application areas such as technology, business, healthcare, education, government, society, and culture. Thirdly, WIREs DMKD endeavors to keep pace with the rapid advancements in data mining and knowledge discovery through regular content updates. Lastly, the journal strives to promote active engagement in the field by presenting its accomplishments and challenges in an accessible manner to a broad audience. The content of WIREs DMKD is intended to benefit upper-level undergraduate and postgraduate students, teaching and research professors in academic programs, as well as scientists and research managers in industry.

《Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery》（WIREs DMKD）是Wiley出版社旗下的刊物，于1985年创刊。 首先，该期刊旨在通过领先研究人员撰写的持续评论来全面概述数据挖掘和知识发现的现状。其次，其旨在通过从不同角度呈现文章来突出该领域的跨学科性质，涵盖技术、商业、医疗保健、教育、政府、社会和文化等各个应用领域。第三，该期刊通过定期内容更新来推动数据挖掘和知识发现方面的进步。最后，该杂志致力于通过以易于理解的方式向广大读者展示其成就和挑战，从而促进该领域的积极参与。 WIREs DMKD 的内容旨在使上层人士受益 本科生和研究生、学术项目的教学和研究教授，以及工业界的科学家和研究管理人员。