統計分析與數據挖掘 SCIE

期刊簡介預計審稿時間：

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.

統計分析和數據挖掘涉及數據分析的廣泛領域，包括統計方法、機器學習、數據挖掘和應用。主題包括用于分析大量復雜數據集的統計和計算方法、新穎的統計和/或機器學習方法和理論，以及具有高影響力的最先進的應用。特別令人感興趣的是描述創新分析技術并討論其在實際問題中的應用的文章，以便科學、工程和商業領域的專家能夠理解并受益。

該期刊的重點是滿足以下一個或多個標準的論文：

解決與海量復雜數據集相關的數據分析問題

開發創新的統計方法、機器學習算法或跨學科思想集成方法，例如統計學、計算機科學、電氣工程、運籌學。

通過新的統計和/或計算模型制定和解決挑戰現有范式的具有重大影響的現實問題

對突出的研究主題進行調查。

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