Statistical Analysis and Data Mining

期刊名

Statistical Analysis and Data Mining

STAT ANAL DATA MIN

ISSN / eISSN

1932-1864 / 1932-1872

目标和范围

Statistical Analysis and Data Mining addresses the broad area of data analysis, including statistical approaches, machine learning, data mining, and applications. Topics include statistical and computational approaches for analyzing massive and complex datasets, novel statistical and/or machine learning methods and theory, and state-of-the-art applications with high impact. Of special interest are articles that describe innovative analytical techniques, and discuss their application to real problems, in such a way that they are accessible and beneficial to domain experts across science, engineering, and commerce.

The focus of the journal is on papers which satisfy one or more of the following criteria:

Solve data analysis problems associated with massive, complex datasets
Develop innovative statistical approaches, machine learning algorithms, or methods integrating ideas across disciplines, e.g., statistics, computer science, electrical engineering, operation research.
Formulate and solve high-impact real-world problems which challenge existing paradigms via new statistical and/or computational models
Provide survey to prominent research topics.

研究方向

计算机：人工智能

计算机：跨学科应用

统计学与概率论

CiteScore

2.20 查看趋势图

CiteScore 学科排名

类别	分区	排名
Mathematics - Analysis	Q2	#72/187
Mathematics - Information Systems	Q3	#240/379
Mathematics - Computer Science Applications	Q3	#502/792

Web of Science 核心合集

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

类别 (Journal Citation Reports 2023)	分区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - SCIE	Q4
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS - SCIE	Q4
STATISTICS & PROBABILITY - SCIE	Q3

H-index

26

出版国家或地区

UNITED STATES

出版商

Wiley-Blackwell

年文章数

35

Open Access

NO

通讯方式

111 RIVER ST, HOBOKEN, USA, NJ, 07030-5774