中文簡(jiǎn)介

統(tǒng)計(jì)分析和數(shù)據(jù)挖掘涉及數(shù)據(jù)分析的廣泛領(lǐng)域，包括數(shù)據(jù)挖掘算法、統(tǒng)計(jì)方法和實(shí)際應(yīng)用。主題包括涉及大量和復(fù)雜數(shù)據(jù)集的問(wèn)題，使用創(chuàng)新的數(shù)據(jù)挖掘算法和/或新的統(tǒng)計(jì)方法的解決方案，以及分析和解決方案的客觀評(píng)價(jià)。特別感興趣的是描述分析技術(shù)的文章，并討論它們?cè)趯?shí)際問(wèn)題中的應(yīng)用，以便科學(xué)、工程和商業(yè)領(lǐng)域的專家能夠訪問(wèn)和受益。該雜志的重點(diǎn)是滿足下列一項(xiàng)或多項(xiàng)標(biāo)準(zhǔn)的論文:解決與大量復(fù)雜數(shù)據(jù)集相關(guān)的數(shù)據(jù)分析問(wèn)題應(yīng)用程序和解決方案是否以解決實(shí)際問(wèn)題為重點(diǎn)描述創(chuàng)新的數(shù)據(jù)挖掘算法或新的統(tǒng)計(jì)方法比較和對(duì)比解決問(wèn)題的技術(shù)，并對(duì)分析和解決方案進(jìn)行客觀評(píng)價(jià)這本跨學(xué)科雜志的目標(biāo)是鼓勵(lì)跨學(xué)科的合作，將新的數(shù)據(jù)挖掘和統(tǒng)計(jì)技術(shù)傳播給從實(shí)際問(wèn)題中分析數(shù)據(jù)的新手和專家，并對(duì)分析和解決方案進(jìn)行有原則的評(píng)估。21世紀(jì)已經(jīng)成為數(shù)據(jù)的世紀(jì)，大多數(shù)領(lǐng)域都在為他們堆積如山的數(shù)據(jù)尋找有用的通用模型。數(shù)據(jù)挖掘和統(tǒng)計(jì)分析是最有效的方法和技術(shù)機(jī)構(gòu)之一，能夠從大量復(fù)雜的數(shù)據(jù)集中產(chǎn)生有用的通用模型。統(tǒng)計(jì)分析和數(shù)據(jù)挖掘?qū)⑹墙鉀Q實(shí)際問(wèn)題的有用資源，同時(shí)使他們能夠從其他領(lǐng)域發(fā)展的思想中獲益。它將是一份跨學(xué)科的國(guó)際期刊，涵蓋了越來(lái)越重要的領(lǐng)域，在可預(yù)見(jiàn)的未來(lái)很可能仍將如此。

　　英文簡(jiǎn)介

Statistical Analysis and Data Mining addresses the broad area of data analysis, including data mining algorithms, statistical approaches, and practical applications. Topics include problems involving massive and complex datasets, solutions utilizing innovative data mining algorithms and/or novel statistical approaches, and the objective evaluation of analyses and solutions. Of special interest are articles that describe 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 datasetsAre application and solution oriented with a focus on solving real problemsDescribe innovative data mining algorithms or novel statistical approachesCompare and contrast techniques to solve a problem, along with an objective evaluation of the analyses and the solutionsThe goals of this interdisciplinary journal are to encourage collaborations across disciplines, communication of novel data mining and statistical techniques to both novices and experts involved in the analysis of data from practical problems, and a principled evaluation of analyses and solutions.The 21st Century has become a Century of Data, with most domains striving for useful general models for their mountains of data. Data mining and statistical analysis are amongst the most effective bodies of methodology and technology capable of producing useful general models from massive, complex datasets.Statistical Analysis and Data Mining will be a useful resource to those solving practical problems, at the same time enabling them to benefit from ideas developed in other domains. It will be an international journal, with an interdisciplinary focus, covering areas which are becoming increasingly important, and likely to remain so in the foreseeable future.

　　近年期刊自引率趨勢(shì)圖

　　JCR分區(qū)

JCR分區(qū)等級(jí)	JCR所屬學(xué)科	分區(qū)	影響因子
Q3	STATISTICS & PROBABILITY	Q3	1.247
	COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS	Q4
	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	Q4

　　近年期刊影響因子趨勢(shì)圖

　　CiteScore數(shù)值

CiteScore	SJR	SNIP	學(xué)科類別	分區(qū)	排名	百分位
2.10	0.472	0.776	大類：Mathematics 小類：Analysis	Q2	65 / 176	63%
			大類：Mathematics 小類：Computer Science Applications	Q3	455 / 747	39%
			大類：Mathematics 小類：Information Systems	Q3	217 / 353	38%

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