Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

期刊名

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

WIRES DATA MIN KNOWL

ISSN / eISSN

1942-4787 / 1942-4795

目标和范围

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.

研究方向

计算机：人工智能

计算机：理论方法

CiteScore

20.40 查看趋势图

CiteScore 学科排名

类别	分区	排名
Computer Science - General Computer Science	Q1	#7/233

Web of Science 核心收藏夹

Science Citation Index Expanded (SCIE)	Social Sciences Citation Index (SSCI)
Indexed	-

类别 (Journal Citation Reports 2023)	分区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - SCIE	Q1
COMPUTER SCIENCE, THEORY & METHODS - SCIE	Q1

H-index

31

出版国家或地区

ENGLAND

出版商

John Wiley and Sons Inc.

年文章数

31

Open Access

NO

通讯方式

ONE MONTGOMERY ST, SUITE 1200, SAN FRANCISCO, USA, CA, 94104