2025年4月16日 星期三 18:36:21 农历三月十九 手机版 客户端
《Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery》杂志封面

推广链接

医学SCI内部论文预审系统

完稿扫码咨询

完稿文章免费预审,通过后确保录用

最快2-4个月接收,无需大小修

《Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery》中科院JCR分区

  • 2025年3月升级版:
  • 大类小类学科Top综述期刊
    计算机科学 3区
    COMPUTER SCIENCE, THEORY & METHODS
    计算机:理论方法
    2区
    COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
    计算机:人工智能
    3区

  • 2023年12月升级版:
  • 大类小类学科Top综述期刊
    计算机科学 2区
    COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
    计算机:人工智能
    2区
    COMPUTER SCIENCE, THEORY & METHODS
    计算机:理论方法
    2区

    《Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery》期刊简介:

    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.

  • 浏览下载本刊EndNote stylesEndNote styles
  • 《Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery》其他相关信息:

    《Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery》最新文章更多内容

    《Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery》评估说明

      《Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery》发布于爱科学网,并永久归类相关SCI期刊导航类别中,本站只是硬性分析 "《WIRES DATA MIN KNOWL》" 杂志的可信度。学术期刊真正的价值在于它是否能为科技进步及社会发展带来积极促进作用。"《WIRES DATA MIN KNOWL》" 的价值还取决于各种因素的综合分析。

    此文由爱科学编辑!:首页 > SCI期刊 > 工程技术 » Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

    《Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery》投稿经验分享