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WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY(或:WIREs Data Mining and Knowledge Discovery)《威利跨学科评论-数据挖掘与知识发现》
双月刊 - 英国
  • WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY(或:WIREs Data Mining and Knowledge Discovery)《威利跨学科评论-数据挖掘与知识发现》
  • SCIE外文期刊
  • 期发文量9
  • 国人占比10.71%
  • 知网目次,维普目次
  • 投稿方式--官网投稿
  • 期刊属性

  • 中科分区:3区
    OA期刊:混合
  • 综述期刊:
    TOP期刊:
  • 期均国文:1
    环比增速:100.00%
  • 期刊信息

  • 研究方向:计算机科学-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE计算机:人工智能;COMPUTER SCIENCE, THEORY METHODS计算机:理论方法
  • 国际刊号:ISSN: 1942-4787;E-ISSN: 1942-4795
  • 期刊语言:英语
    出版地区:英国
  • 投稿网址:https://forms.office.com/Pages/ResponsePage.aspx?id=TyT-JA6J70a-L6UgKXa3pbztKyJ88OBCngL646z5--hUQ0RISDhHQ1RWOEo1QVpUR0NBREZPRjRITiQlQCN0PWcu
  • 电子邮箱:
  • 期刊官网:https://wires.onlinelibrary.wiley.com/journal/19424795
  • 作者指南:
  • 出版商网址:http://www.wiley.com/WileyCDA/
  • 出版地址:WILEY PERIODICALS, INC, ONE MONTGOMERY ST, SUITE 1200, SAN FRANCISCO, USA, CA, 94104
  • 期刊简介:WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY《威利跨学科评论-数据挖掘与知识发现》(双月刊). The objectives of WIREs Data Mining and Knowledge Discovery 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.

  • 万维提示






  • 1、投稿方式:在线投稿。

    2、期刊网址:

    https://wires.onlinelibrary.wiley.com/journal/19424795

    3、投稿网址:

    https://forms.office.com/Pages/ResponsePage.aspx?id=TyT-JA6J70a-L6UgKXa3pbztKyJ88OBCngL646z5--hUQ0RISDhHQ1RWOEo1QVpUR0NBREZPRjRITiQlQCN0PWcu

    4、期刊刊期:双月刊,一年出版6期。

    2021年1116日星期二

                              

     

    期刊信息【官网信息】

     

    Journal Aims and Scope

    The objectives of WIREs Data Mining and Knowledge Discovery 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.

    Readership

    Each WIREs title was established in response to the urgent need to publish current, comprehensive reviews of the pioneering research that is being done in an interdisciplinary and complementary set of fields. Our goal is to support the research and teaching needs of advanced students, scientists, healthcare providers, governmental and policy analysts, and other professionals in these rapidly developing areas.

    Reviews are structured into different Article Categories, each with its own description and intended audience. All articles are tagged with Topics and Subtopics to facilitate browsing.

    Additionally, Wiley participates in the Research4Life initiative, which provides people at more than 7,700 institutions in the developing world with free or low cost access to scientific content.

    WIREs Article Categories (formerly Article Types)

    https://wires.onlinelibrary.wiley.com/hub/about#ArticleCategories







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