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.

统计分析和数据挖掘涉及数据分析的广泛领域，包括统计方法、机器学习、数据挖掘和应用。主题包括用于分析大量复杂数据集的统计和计算方法、新颖的统计和/或机器学习方法和理论，以及具有高影响力的最先进的应用。特别令人感兴趣的是描述创新分析技术并讨论其在实际问题中的应用的文章，以便科学、工程和商业领域的专家能够理解并受益。

该期刊的重点是满足以下一个或多个标准的论文：

解决与海量复杂数据集相关的数据分析问题

开发创新的统计方法、机器学习算法或跨学科思想集成方法，例如统计学、计算机科学、电气工程、运筹学。

通过新的统计和/或计算模型制定和解决挑战现有范式的具有重大影响的现实问题

对突出的研究主题进行调查。

该刊已被国际权威数据库SCIE收录，该刊致力于发表经过严格同行评审的高质量原创文章，反映COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS领域的新进展、新技术、新成果，促进该领域科研交流和科研成果转化。该刊2023年影响因子为2.1，平均审稿速度为 ，近四年来没有被列入预警名单。如果您需要投稿发表服务及指导，可以联系我们的客服老师，我们专业专注服务期刊投稿协助10年，为您提供期刊投稿个性化定制服务，并且我们确保严格保密您的个人信息及稿件内容。