Wiley Interdisciplinary Reviews-data Mining And Knowledge DiscoverySCIE

英文簡介Wiley Interdisciplinary Reviews-data Mining And Knowledge Discovery期刊介紹

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.

期刊簡介Wiley Interdisciplinary Reviews-data Mining And Knowledge Discovery期刊介紹

《Wiley Interdisciplinary Reviews-data Mining And Knowledge Discovery》自2011出版以來，是一本計算機科學優秀雜志。致力于發表原創科學研究結果，并為計算機科學各個領域的原創研究提供一個展示平臺，以促進計算機科學領域的的進步。該刊鼓勵先進的、清晰的闡述，從廣泛的視角提供當前感興趣的研究主題的新見解，或審查多年來某個重要領域的所有重要發展。該期刊特色在于及時報道計算機科學領域的最新進展和新發現新突破等。該刊近一年未被列入預警期刊名單，目前已被權威數據庫SCIE收錄，得到了廣泛的認可。

該期刊投稿重要關注點：

• 預計審稿時間： 12周，或約稿
• 國際TOP期刊
• 計算機科學
• COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
• SCIE
• 中科院2區
• 非預警