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.
WIREs DMKD的目标是 (a) 通过领先研究人员正在进行的一系列评论来介绍数据挖掘和知识发现的当前状态，(b) 通过纳入从数据挖掘和知识发现的不同角度讨论关键主题的文章，包括技术，商业，医疗保健，教育，政府以及社会和文化中的各种应用领域，来抓住该领域的关键跨学科特色，(c) 通过系统的内容更新计划，捕捉数据挖掘和知识发现的迅速发展，(d) 通过向广大受众介绍其成就和挑战，鼓励积极参与这一领域。电线DMKD的内容将对高级本科生和研究生，学术课程中的教学和研究教授以及工业中的科学家和研究经理有用。
|
期刊ISSN
|
1942-4787 |
|
影响指数
|
7.178 |
|
最新CiteScore值
|
13.50 查看CiteScore评价数据 |
|
最新自引率
|
3.10% |
|
官方指定润色网址
|
https://www.deeredit.com/?type=ss1 |
|
投稿语言要求
|
Improve the quality of the paper, eliminate grammar and spelling errors, increase readability, ensure accurate communication of viewpoints, enhance academic reputation, and increase the chances of the paper being accepted. 建议点击这个网址：https://www.deeredit.com/?type=ss2，资深审稿专家为您评估稿件质量，提供针对性改进建议，最终可助您极大提升目标期刊录用率 |
|
期刊官方网址
hot |
https://www.peipusci.com/?type=9 |
|
杂志社征稿网址
hot |
https://www.peipusci.com/?type=10 |
|
通讯地址
|
ONE MONTGOMERY ST, SUITE 1200, SAN FRANCISCO, USA, CA, 94104 |
|
偏重的研究方向（学科）
|
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER |
|
出版周期
|
|
|
出版年份
|
0 |
|
出版国家/地区
|
ENGLAND |
|
是否OA
|
No |
|
SCI期刊coverage
|
Science Citation Index Expanded（科学引文索引扩展） |
|
NCBI查询
|
PubMed Central (PMC)链接 全文检索(pubmed central) |
|
最新中科院JCR分区
|
大类(学科)
小类(学科)
综述期刊
工程技术
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE(计算机：人工智能)3区
COMPUTER SCIENCE, THEORY & METHODS(计算机：理论方法)2区
是
|
|||||
|
最新的影响因子
|
7.178 | |||||
| 最新公布的期刊年发文量 |
|
|||||
| 总被引频次 | 31 | |||||
| 影响因子趋势图 |
近年的影响因子趋势图（整体平稳趋势）
|
|||||
2022年预警名单预测最新
|
最新CiteScore值
|
13.50
|
||||||||||
| 年文章数 | 60 | ||||||||||
|
SJR
|
1.506 | ||||||||||
|
SNIP
|
4.893 | ||||||||||
|
CiteScore排名
|
|
||||||||||
| CiteScore趋势图 |
CiteScore趋势图
|
||||||||||
|
本刊同领域相关期刊
|
|
| 期刊名称 | IF值 |
| CONSTRAINTS | 1.662 |
| Semantic Web | 2.192 |
| EXPERT SYSTEMS | 2.561 |
| ARTIFICIAL LIFE | 0.66 |
| Applied Ontology | 1.104 |
| Natural Computing | 1.673 |
| CONNECTION SCIENCE | 1.951 |
| Information Fusion | 12.845 |
| JOURNAL OF HEURISTICS | 1.665 |
| 分享者 | 点评内容 |
