- 投稿方式--官网投稿
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期刊属性
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- 中科分区:3区
- OA期刊:混合
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- 综述期刊:是
- TOP期刊:否
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- 期均国文:1
- 环比增速:100.00%


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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
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- 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.
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万维提示
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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11月16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
- Discrete Analysis《离散分析》
- Chemical Industry & Chemical Engineering Quarterly《化学工业与化学工程
- ARP Rheumatology《ARP风湿病学》(原:Acta Reumatologica Portuguesa)
- ZFW-Advances in Economic Geography《ZFW:经济地理学进展》(原:Zeitschrif
- Yale Journal of Biology and Medicine《耶鲁生物学与医学杂志》
- Turkish Journal of Zoology《土耳其动物学杂志》
- Turkish Journal of Veterinary & Animal Sciences《土耳其兽医与动物科学杂志
- The Turkish Journal of Pediatrics《土耳其儿科杂志》
- Turkish Journal of Medical Sciences《土耳其医学杂志》
- Turkish Journal of Mathematics《土耳其数学杂志》
- Reproductive Sciences《生殖科学》
- Rejuvenation Research《抗衰老研究》
- Die Radiologie《放射学》(原:Der Radiologe)
- Quarterly Reviews of Biophysics《生物物理学评论季刊》
- Psychiatry and Clinical Neurosciences《精神病学与临床神经科学》
- Preventive Veterinary Medicine《预防兽医学》
- Physics of Particles and Nuclei《粒子核物理学》
- Numerical Linear Algebra with Applications《数值线性代数及其应用》
- Nanoscale and Microscale Thermophysical Engineering《微/纳尺度热物理
- Matrix Biology《基质生物学》