统计阐发与数据发掘 SCIE

期刊简介估计审稿时候：

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.

统计阐发和数据发掘触及数据阐发的普遍范畴，包含统计体例、机械进修、数据发掘和利用。主题包含用于阐发大批庞杂数据集的统计和计较体例、新奇的统计和/或机械进修体例和实际，和具备高影响力的最早进的利用。出格使人感乐趣的是描写立异阐发手艺并会商其在实际题目中的利用的文章，以便迷信、工程和贸易范畴的专家可以或许或许懂得并受害。

该期刊的重点是知足以下一个或多个规范的论文：

处理与海量庞杂数据集相干的数据阐发题目

开辟立异的统计体例、机械进修算法或跨学科思惟集成体例，比方统计学、计较机迷信、电气工程、运筹学。

经由过程新的统计和/或计较模子拟定和处理挑衅现有范式的具备严重影响的实际题目

对凸起的研讨主题停止查询拜访。

《Statistical Analysis And Data Mining》(统计阐发与数据发掘)编辑部通信体例为111 RIVER ST, HOBOKEN, USA, NJ, 07030-5774。若是您须要辅佐投稿或润稿办事，您可以或许征询咱们的客服教员。咱们专一于期刊征询办事十年，熟习颁发政策，可为您供给一对一投稿指点，防止您在投稿时频仍碰鼻，节流您的可贵时候，有用晋升颁发机率，确保SCI检索（检索不了全额退款）。咱们视诺言为生命，多方面确保文章宁静失密，在任何环境下都不会泄漏您的小我信息或稿件内容。