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Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

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期刊簡介
期刊名稱Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
LetPub Score
6.4
51 ratings
Rate

Reputation
7.6

Influence
5.2

Speed
7.1

期刊簡稱WIRES DATA MIN KNOWL
ISSN1942-4787
E-ISSN1942-4795
h-index31
CiteScore
CiteScoreSJRSNIPCiteScore Rank
22.702.1473.411
Subject fieldQuartilesRankPercentile
Category: Computer Science
Subcategory: General Computer Science
Q15 / 232

自引率 (2023-2024)1.60%自引率趨勢
掲載範囲
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.
官方網站http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%291942-4795
在線稿件提交
開放訪問No
出版商John Wiley and Sons Inc.
主題領域COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
出版國/地區ENGLAND
發行頻率
創刊年0
每年文章數37每年文章數趨勢
黃金OA百分比22.22%
Web of Science 四分位
2023-2024
WOS Quartile: Q1

CategoryEditionJIF QuartileJIF RankingJIF Percentage
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCESCIEQ134/197
COMPUTER SCIENCE, THEORY & METHODSSCIEQ112/143
索引 (SCI or SCIE)Science Citation Index Expanded
鏈接到PubMed Central (PMC)https://www.ncbi.nlm.nih.gov/nlmcatalog?term=1942-4787%5BISSN%5D
平均審稿時間 *來自出版商的數據:
來自作者的數據: >12 Week(s), or Invited contributions
競爭力 *來自作者的數據: Easy
參考鏈接
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*所有的審稿過程指標,如接受率和審稿速度,僅限於用戶提交的稿件。因此,這些指標可能無法準確反映期刊的競爭力或速度。
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    Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
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