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Annals of Data Science

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期刊簡介
期刊名稱Annals of Data Science Annals of Data Science

(According to the latest JCR data, this journal is not indexed in the JCR.)
LetPub Score
3.6
50 ratings
Rate

Reputation
4.3

Influence
2.4

Speed
7.1

期刊簡稱
ISSN2198-5804
E-ISSN2198-5812
h-indexN.A.
CiteScore
CiteScoreSJRSNIPCiteScore Rank
6.500.6821.793
Subject fieldQuartilesRankPercentile
Category: Decision Sciences
Subcategory: Statistics, Probability and Uncertainty
Q116 / 168
Category: Decision Sciences
Subcategory: Business, Management and Accounting (miscellaneous)
Q126 / 189
Category: Decision Sciences
Subcategory: Computer Science Applications
Q2224 / 817
Category: Decision Sciences
Subcategory: Artificial Intelligence
Q2124 / 350

自引率 (2023-2024)N.A.自引率趨勢
掲載範囲
Annals of Data Science (ADS) publishes cutting-edge research findings, experimental results and case studies of data science. Although Data Science is regarded as an interdisciplinary field of using mathematics, statistics, databases, data mining, high-performance computing, knowledge management and virtualization to discover knowledge from Big Data, it should have its own scientific contents, such as axioms, laws and rules, which are fundamentally important for experts in different fields to explore their own interests from Big Data. ADS encourages contributors to address such challenging problems at this exchange platform. At present, how to discover knowledge from heterogeneous data under Big Data environment needs to be addressed.     ADS is a series of volumes edited by either the editorial office or guest editors. Guest editors will be responsible for call-for-papers and the review process for high-quality contributions in their volumes.
官方網站https://www.springer.com/40745
在線稿件提交https://www.editorialmanager.com/aods
開放訪問No
出版商Springer Nature
主題領域Decision Sciences
出版國/地區
發行頻率年6回刊行
創刊年0
每年文章數0每年文章數趨勢
黃金OA百分比0.00%
Web of Science 四分位
2023-2024
WOS Quartile: Q0

N/A
索引 (SCI or SCIE)
鏈接到PubMed Central (PMC)https://www.ncbi.nlm.nih.gov/nlmcatalog?term=2198-5804%5BISSN%5D
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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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    Annals of Data Science Annals of Data Science
    明年預測:
    穩步上升 無變化 逐步下降  刷新
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