Journal Title：Statistical Analysis And Data Mining

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(jì)分析和數(shù)據(jù)挖掘涉及數(shù)據(jù)分析的廣泛領(lǐng)域，包括統(tǒng)計(jì)方法、機(jī)器學(xué)習(xí)、數(shù)據(jù)挖掘和應(yīng)用。主題包括用于分析大量復(fù)雜數(shù)據(jù)集的統(tǒng)計(jì)和計(jì)算方法、新穎的統(tǒng)計(jì)和/或機(jī)器學(xué)習(xí)方法和理論，以及具有高影響力的最先進(jìn)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(shí)際問題中的應(yīng)用的文章，以便科學(xué)、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(diǎn)是滿足以下一個(gè)或多個(gè)標(biāo)準(zhǔn)的論文：

解決與海量復(fù)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(jì)方法、機(jī)器學(xué)習(xí)算法或跨學(xué)科思想集成方法，例如統(tǒng)計(jì)學(xué)、計(jì)算機(jī)科學(xué)、電氣工程、運(yùn)籌學(xué)。

通過新的統(tǒng)計(jì)和/或計(jì)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(shí)問題

對(duì)突出的研究主題進(jìn)行調(diào)查。

Statistical Analysis And Data Mining創(chuàng)刊于2008年，由Wiley-Blackwell出版商出版，收稿方向涵蓋COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC - COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS全領(lǐng)域，此期刊水平偏中等偏靠后，在所屬細(xì)分領(lǐng)域中專業(yè)影響力一般，過審相對(duì)較易，如果您文章質(zhì)量佳，選擇此期刊，發(fā)表機(jī)率較高。平均審稿速度 ，影響因子指數(shù)2.1，該期刊近期沒有被列入國(guó)際期刊預(yù)警名單，廣大學(xué)者值得一試。