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Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery期刊基本信息

  • 簡稱:WIRES DATA MIN KNOWL
  • 大類:工程技術
  • 小類:計算機:人工智能
  • ISSN:1942-4787
  • ESSN:1942-4795
  • IF值:2.541
  • 是否SCI:SCIE
  • 是否OA:No
  • 出版地:ENGLAND
  • 平均錄用比例:容易
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Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery中文簡介

Wires DMKD的目標是:(a)通過主要研究人員正在進行的一系列評論來展示當前數(shù)據(jù)挖掘和知識發(fā)現(xiàn)的技術現(xiàn)狀;(b)通過包括從數(shù)據(jù)挖掘和K的不同角度討論關鍵主題的文章來捕獲該領域的關鍵跨學科風格。知識發(fā)現(xiàn),包括技術、商業(yè)、醫(yī)療保健、教育、政府、社會和文化領域的各種應用領域,(c)通過內容更新的系統(tǒng)程序捕獲數(shù)據(jù)挖掘和知識發(fā)現(xiàn)的快速發(fā)展,(d)通過展示其成就鼓勵積極參與這一領域。以一種方便的方式向廣大觀眾提出挑戰(zhàn)。期刊的內容將有助于高層次的本科生和研究生、學術項目的教學和研究教授以及工業(yè)領域的科學家和研究管理者。數(shù)據(jù)挖掘和知識發(fā)現(xiàn)(DMKD)技術目前正應用于商業(yè)和政府的許多領域,如銀行和金融、市場研究、風險分析和反恐。在科學領域,DMKD已廣泛應用于生物信息學、醫(yī)學診斷、流行病學、藥物發(fā)現(xiàn)、環(huán)境建模和氣象數(shù)據(jù)分析等領域。

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery英文簡介

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.The techniques of data mining and knowledge discovery (DMKD) are now being applied in many areas of business and government, such as banking and finance, market research, risk analysis, and counterterrorism. In the sciences, DMKD has become pervasive in such fields as bioinformatics, medical diagnosis, epidemiology, drug discovery, environmental modeling, and meteorological data analysis.

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery中科院分區(qū)

大類學科 分區(qū) 小類學科 分區(qū) Top期刊 綜述期刊
計算機科學 2區(qū) COMPUTER SCIENCE, THEORY & METHODS 計算機:理論方法 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計算機:人工智能 2區(qū) 3區(qū)

JCR分區(qū)

JCR分區(qū)等級 JCR所屬學科 分區(qū) 影響因子
Q1 COMPUTER SCIENCE, THEORY & METHODS Q1 7.558
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Q1

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery影響因子

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