雜志介紹

Statistical Analysis And Data Mining雜志介紹

《Statistical Analysis And Data Mining》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱統(tǒng)計分析與數據挖掘，本刊主要出版、報道數學-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE領域的研究動態(tài)以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學術信息交流，提高行業(yè)發(fā)展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認可。該刊最新影響因子為2.1，最新CiteScore 指數為3.2。

本刊近期中國學者發(fā)表的論文主要有：

• A study of the impact of COVID-19 on the Chinese stock market based on a new textual multiple ARMA model

  Author: Xu, Weijun; Fu, Zhineng; Li, Hongyi; Huang, Jinglong; Xu, Weidong; Luo, Yiyang

• Feature screening of ultrahigh dimensional longitudinal data based on the C-statistic

  Author: Lai, Peng; Di, Qing; Shen, Zhezi; Zhou, Yanqiu

• Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data

  Author: Gao, Yaqian; Huang, Yifan; Meng, Shengwang

• Randomized algorithms for tensor response regression

  Author: Cheng, Zhe; Xu, Xiangjian; Song, Zihao; Zhao, Weihua

英文介紹

Statistical Analysis And Data Mining雜志英文介紹

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.