Statistical Analysis And Data Mining SCIE

國(guó)際簡(jiǎn)稱：STAT ANAL DATA MIN 參考譯名：統(tǒng)計(jì)分析與數(shù)據(jù)挖掘

主要研究方向：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 非預(yù)警期刊審稿周期：

《統(tǒng)計(jì)分析與數(shù)據(jù)挖掘》(Statistical Analysis And Data Mining)是一本由Wiley-Blackwell出版的以COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS為研究特色的國(guó)際期刊，發(fā)表該領(lǐng)域相關(guān)的原創(chuàng)研究文章、評(píng)論文章和綜述文章，及時(shí)報(bào)道該領(lǐng)域相關(guān)理論、實(shí)踐和應(yīng)用學(xué)科的最新發(fā)現(xiàn)，旨在促進(jìn)該學(xué)科領(lǐng)域科學(xué)信息的快速交流。該期刊是一本未開(kāi)放期刊，近三年沒(méi)有被列入預(yù)警名單。

4區(qū) 中科院分區(qū)
Q1 JCR分區(qū)
35 年發(fā)文量
2.1 IF影響因子
未開(kāi)放 是否OA
26 H-index
2008 創(chuàng)刊年份
6 issues/year 出版周期
English 出版語(yǔ)言

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.

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Statistical Analysis And Data Mining期刊信息

ISSN：1932-1864
出版語(yǔ)言：English
是否OA：未開(kāi)放
E-ISSN：1932-1872
出版地區(qū)：UNITED STATES
是否預(yù)警：否
出版商：Wiley-Blackwell
出版周期：6 issues/year
創(chuàng)刊時(shí)間：2008
開(kāi)源占比：0.1497
Gold OA文章占比：24.24%
OA被引用占比：0.0434...
出版國(guó)人文章占比：0.09
出版撤稿占比：
研究類文章占比：100.00%

Statistical Analysis And Data Mining CiteScore評(píng)價(jià)數(shù)據(jù)（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指數(shù)

3.2

0.625

0.982

學(xué)科類別	分區(qū)	排名	百分位
大類：Mathematics 小類：Analysis	Q1	41 / 193	79%
大類：Mathematics 小類：Information Systems	Q3	211 / 394	46%
大類：Mathematics 小類：Computer Science Applications	Q3	451 / 817	44%

名詞解釋：CiteScore 是衡量期刊所發(fā)表文獻(xiàn)的平均受引用次數(shù)，是在 Scopus 中衡量期刊影響力的另一個(gè)指標(biāo)。當(dāng)年CiteScore 的計(jì)算依據(jù)是期刊最近4年（含計(jì)算年度）的被引次數(shù)除以該期刊近四年發(fā)表的文獻(xiàn)數(shù)。例如，2022年的 CiteScore 計(jì)算方法為：2022年的 CiteScore =2019-2022年收到的對(duì)2019-2022年發(fā)表的文件的引用數(shù)量÷2019-2022年發(fā)布的文獻(xiàn)數(shù)量注：文獻(xiàn)類型包括：文章、評(píng)論、會(huì)議論文、書(shū)籍章節(jié)和數(shù)據(jù)論文。

Statistical Analysis And Data Mining中科院評(píng)價(jià)數(shù)據(jù)

中科院 2023年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	數(shù)學(xué)	4區(qū)	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計(jì)算機(jī)：人工智能 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計(jì)算機(jī)：跨學(xué)科應(yīng)用 STATISTICS & PROBABILITY 統(tǒng)計(jì)學(xué)與概率論	4區(qū) 4區(qū) 4區(qū)

中科院 2022年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	計(jì)算機(jī)科學(xué)	4區(qū)	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計(jì)算機(jī)：人工智能 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計(jì)算機(jī)：跨學(xué)科應(yīng)用 STATISTICS & PROBABILITY 統(tǒng)計(jì)學(xué)與概率論	4區(qū) 4區(qū) 4區(qū)

中科院 2021年12月舊的升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	計(jì)算機(jī)科學(xué)	4區(qū)	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計(jì)算機(jī)：人工智能 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計(jì)算機(jī)：跨學(xué)科應(yīng)用 STATISTICS & PROBABILITY 統(tǒng)計(jì)學(xué)與概率論	4區(qū) 4區(qū) 4區(qū)

中科院 2021年12月基礎(chǔ)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	工程技術(shù)	4區(qū)	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計(jì)算機(jī)：人工智能 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計(jì)算機(jī)：跨學(xué)科應(yīng)用 STATISTICS & PROBABILITY 統(tǒng)計(jì)學(xué)與概率論	4區(qū) 4區(qū) 4區(qū)

中科院 2021年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	計(jì)算機(jī)科學(xué)	4區(qū)	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計(jì)算機(jī)：人工智能 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計(jì)算機(jī)：跨學(xué)科應(yīng)用 STATISTICS & PROBABILITY 統(tǒng)計(jì)學(xué)與概率論	4區(qū) 4區(qū) 4區(qū)

中科院 2020年12月舊的升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	計(jì)算機(jī)科學(xué)	4區(qū)	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計(jì)算機(jī)：人工智能 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計(jì)算機(jī)：跨學(xué)科應(yīng)用 STATISTICS & PROBABILITY 統(tǒng)計(jì)學(xué)與概率論	4區(qū) 4區(qū) 4區(qū)

Statistical Analysis And Data Mining JCR評(píng)價(jià)數(shù)據(jù)（2023-2024年最新版）

按JIF指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	SCIE	Q3	123 / 197	37.8%
學(xué)科：COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS	SCIE	Q3	101 / 169	40.5%
學(xué)科：STATISTICS & PROBABILITY	SCIE	Q1	26 / 168	84.8%

按JCI指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	SCIE	Q3	105 / 198	47.22%
學(xué)科：COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS	SCIE	Q3	94 / 169	44.67%
學(xué)科：STATISTICS & PROBABILITY	SCIE	Q2	69 / 168	59.23%

Statistical Analysis And Data Mining歷年數(shù)據(jù)統(tǒng)計(jì)

影響因子

中科院分區(qū)

Statistical Analysis And Data Mining中國(guó)學(xué)者發(fā)文選摘

1、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

Journal: STATISTICAL ANALYSIS AND DATA MINING. 2023; Vol. 16, Issue 1, pp. 5-15. DOI: 10.1002/sam.11582
2、Feature screening of ultrahigh dimensional longitudinal data based on the C-statistic
Author: Lai, Peng; Di, Qing; Shen, Zhezi; Zhou, Yanqiu

Journal: STATISTICAL ANALYSIS AND DATA MINING. 2023; Vol. 16, Issue 1, pp. 80-91. DOI: 10.1002/sam.11597
3、Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data
Author: Gao, Yaqian; Huang, Yifan; Meng, Shengwang

Journal: STATISTICAL ANALYSIS AND DATA MINING. 2023; Vol. 16, Issue 2, pp. 97-119. DOI: 10.1002/sam.11599
4、Randomized algorithms for tensor response regression
Author: Cheng, Zhe; Xu, Xiangjian; Song, Zihao; Zhao, Weihua

Journal: STATISTICAL ANALYSIS AND DATA MINING. 2023; Vol. 16, Issue 2, pp. 149-161. DOI: 10.1002/sam.11603
5、A new formulation of sparse multiple kernel k-means clustering and its applications
Author: Qu, Wentao; Xiu, Xianchao; Sun, Jun; Kong, Lingchen

Journal: STATISTICAL ANALYSIS AND DATA MINING. 2023; Vol. , Issue , pp. -. DOI: 10.1002/sam.11621
6、Semi-supervised multi-label learning with missing labels by exploiting feature-label correlations
Author: Li, Runxin; Zhao, Xuefeng; Shang, Zhenhong; Jia, Lianyin

Journal: STATISTICAL ANALYSIS AND DATA MINING. 2023; Vol. 16, Issue 2, pp. 187-209. DOI: 10.1002/sam.11607
7、Hierarchy-assisted gene expression regulatory network analysis
Author: Yan, Han; Zhang, Sanguo; Ma, Shuangge

Journal: STATISTICAL ANALYSIS AND DATA MINING. 2023; Vol. , Issue , pp. -. DOI: 10.1002/sam.11609
8、Doubly robust estimation for non-probability samples with modified intertwined probabilistic factors decoupling
Author: Liu, Zhan; Zheng, Junbo; Pan, Yingli

Journal: STATISTICAL ANALYSIS AND DATA MINING. 2023; Vol. , Issue , pp. -. DOI: 10.1002/sam.11614