中文簡介

統計分析和數據挖掘涉及數據分析的廣泛領域，包括數據挖掘算法、統計方法和實際應用。主題包括涉及大量和復雜數據集的問題，使用創新的數據挖掘算法和/或新的統計方法的解決方案，以及分析和解決方案的客觀評價。特別感興趣的是描述分析技術的文章，并討論它們在實際問題中的應用，以便科學、工程和商業領域的專家能夠訪問和受益。該雜志的重點是滿足下列一項或多項標準的論文:解決與大量復雜數據集相關的數據分析問題應用程序和解決方案是否以解決實際問題為重點描述創新的數據挖掘算法或新的統計方法比較和對比解決問題的技術，并對分析和解決方案進行客觀評價這本跨學科雜志的目標是鼓勵跨學科的合作，將新的數據挖掘和統計技術傳播給從實際問題中分析數據的新手和專家，并對分析和解決方案進行有原則的評估。21世紀已經成為數據的世紀，大多數領域都在為他們堆積如山的數據尋找有用的通用模型。數據挖掘和統計分析是最有效的方法和技術機構之一，能夠從大量復雜的數據集中產生有用的通用模型。統計分析和數據挖掘將是解決實際問題的有用資源，同時使他們能夠從其他領域發展的思想中獲益。它將是一份跨學科的國際期刊，涵蓋了越來越重要的領域，在可預見的未來很可能仍將如此。

　　英文簡介

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圖

　　JCR分區

JCR分區等級	JCR所屬學科	分區	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圖

　　CiteScore數值

CiteScore	SJR	SNIP	學科類別	分區	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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