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(tǒng)計分析和數(shù)據(jù)挖掘涉及數(shù)據(jù)分析的廣泛領(lǐng)域，包括統(tǒng)計方法、機器學習、數(shù)據(jù)挖掘和應(yīng)用。主題包括用于分析大量復雜數(shù)據(jù)集的統(tǒng)計和計算方法、新穎的統(tǒng)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(yīng)用。特別令人感興趣的是描述創(chuàng)新分析技術(shù)并討論其在實際問題中的應(yīng)用的文章，以便科學、工程和商業(yè)領(lǐng)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(shù)據(jù)集相關(guān)的數(shù)據(jù)分析問題

開發(fā)創(chuàng)新的統(tǒng)計方法、機器學習算法或跨學科思想集成方法，例如統(tǒng)計學、計算機科學、電氣工程、運籌學。

通過新的統(tǒng)計和/或計算模型制定和解決挑戰(zhàn)現(xiàn)有范式的具有重大影響的現(xiàn)實問題

對突出的研究主題進行調(diào)查。

《Statistical Analysis And Data Mining》(統(tǒng)計分析與數(shù)據(jù)挖掘)編輯部通訊方式為111 RIVER ST, HOBOKEN, USA, NJ, 07030-5774。如果您需要協(xié)助投稿或潤稿服務(wù)，您可以咨詢我們的客服老師。我們專注于期刊咨詢服務(wù)十年，熟悉發(fā)表政策，可為您提供一對一投稿指導，避免您在投稿時頻繁碰壁，節(jié)省您的寶貴時間，有效提升發(fā)表機率，確保SCI檢索（檢索不了全額退款）。我們視信譽為生命，多方面確保文章安全保密，在任何情況下都不會泄露您的個人信息或稿件內(nèi)容。