万维提示：
1、投稿方式：在线投稿。
2、刊内网址（202503期）：
https://www.sciopen.com/journal/2096-0654
https://ieeexplore.ieee.org/xpl/aboutJournal.jsp?punumber=8254253
https://mc03.manuscriptcentral.com/bdma（投稿系统）
3、清华大学出版社期刊中心官网：
https://www.tsinghuajournals.com/
4、官网电话：010-83470494
5、刊内邮箱：journal-bdma@tup.tsinghua.edu.cn
6、出刊日期：双月刊，逢双月出版。
7、官方微信公众号：大数据挖掘与分析期刊（bigdatajournal）
2025年9月4星期四
《大数据挖掘与分析（英文）》期刊简介
【官方微信公众号信息】
大数据挖掘与分析期刊2025年08月07日
《大数据挖掘与分析(英文)》(Big Data Mining and Analytics，ISSN 2096-0654，CN 10-1514/G2，双月刊）创刊于2018年，为国际化的英文学术期刊，由教育部主管，清华大学主办，清华大学出版社出版。由清华大学教授、中国工程院院士郑纬民和深圳理工大学讲席教授、美国医学与生物工程院院士、俄罗斯工程院院士、乌克兰国家工程院院士、欧洲科学与艺术院院士潘毅共同担任主编。期刊发表大数据挖掘与分析方面高水平的原创性研究和综述类文章，为国内外大数据研究者提供高端学术交流平台。期刊与IEEE合作，以开放获取（OA）模式海外发行。期刊已被ESCI，CSCD，EI，Scopus，dblp computer science bibliography，Google Scholar，INSPEC等检索收录。期刊位居中科院期刊分区计算机科学1区Top期刊。期刊位列CCF计算领域高质量科技期刊分级目录T1类。
自创刊以来，Big Data Mining and Analytics得到业内专家、学者广泛关注。期刊2024年影响因子6.2，在所属的人工智能、信息系统领域均位居Q1区。根据爱思唯尔最新公布的CiteScore（引用分数），BDMA 2024年CiteScore为19.8，位列全球计算机领域前2%。2024年入选“中国科技期刊卓越行动计划”英文梯队期刊项目。
Submission Guidelines
【官网信息】
Overview
Big Data Mining and Analytics, an academic journal sponsored by Tsinghua University, is published quarterly. This journal aims at presenting the up-to-date scientific achievements with high creativity and great significance in big data mining and analytics. Contributions all over the world are welcome. Big Data Mining and Analytics is indexed by IEEE Xplore.
Manuscripts are selected for publication according to the editorial assessment of their suitability and evaluation from independent reviewers. Papers are usually sent to two or more reviewers. Editorial staff will edit accepted papers to improve accuracy and clarity and shorten, if necessary.
It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere.
Manuscript submission
The electronic manuscript should be sent to the editorial board through ScholarOne Manuscripts at http://mc03.manuscriptcentral.com/bdma.
Authorship
Authorship should be limited to those who have made a significant contribution to the conception, design, execution, or interpretation of the reported study. All those who have made significant contributions should be listed as co-authors. Where there are others who have participated in certain substantive aspects of the research project, they should be named in an Acknowledgment section. The corresponding author should ensure that all appropriate co-authors (according to the above definition) and no inappropriate co-authors are included in the author list of the manuscript, and that all co-authors have seen and approved the final version of the paper and have agreed to its submission for publication. After acceptance, changes of authorship or in the order of the authors listed will not be accepted by Tsinghua University Press.
Title and By-line
The title should be descriptive, not full sentences. Name, affiliation (institution) of the authors, city, zip code, country, and E-mail address of the author(s) should be listed.
Abstract and Key words
The abstract of about 100−150 words must accompany each article on page one. It should be a concise summary of the aims, methods, results, and conclusions and/or other significant items in the paper. Together with the title, it must be adequate as an index to all the subjects treated in the paper, and will be used as a base for indexing. Abstracts shall not contain numbered mathematical equations nor numbered references. If a citation is made, reword the sentence to exclude citation numbers. Define all nonstandard symbols and abbreviations. Do not use footnote indicators. Summarize the experimental or theoretical results, the conclusions, and/or other significant items in the paper. If space permits, include any important new quantitative data. Summarized results should be exact, direct, and specific. The key words should include 3−8 pieces of words or phrases to serve as guidelines for indexing.
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更多详情：
https://www.sciopen.com/journal/join_journal/submission_guidelines?id=1404097305465446402&issn=2096-0654
