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 的目標是：(a) 通過一系列由頂尖研究人員撰寫的評論文章介紹數據挖掘和知識發現的最新進展；(b) 通過收錄從數據挖掘和知識發現的不同角度探討關鍵主題的文章來捕捉該領域至關重要的跨學科特色，包括技術、商業、醫療保健、教育、政府、社會和文化等各種應用領域；(c) 通過系統的內容更新計劃來捕捉數據挖掘和知識發現的快速發展；(d) 通過以廣泛受眾易于理解的方式介紹該領域的成就和挑戰，鼓勵人們積極參與該領域。WIREs DMKD 的內容將對高年級本科生和研究生、學術課程的教學和研究教授以及行業中的科學家和研究經理有用。

Wiley Interdisciplinary Reviews-data Mining And Knowledge Discovery創刊于2011年，由John Wiley and Sons Inc.出版商出版，收稿方向涵蓋COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - COMPUTER SCIENCE, THEORY & METHODS全領域，此刊是該細分領域中屬于非常不錯的SCI期刊，在行業細分領域中學術影響力較大，專業度認可很高，所以對原創文章要求創新性較高，如果您的文章質量很高，可以嘗試。平均審稿速度 12周，或約稿 ，影響因子指數6.4，該期刊近期沒有被列入國際期刊預警名單，廣大學者值得一試。