大数据挖掘与分析（英文）（Big Data Mining and Analytics） 维普目次

期刊简介

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投稿指南

1、投稿方式：在线投稿。

2、刊内网址：（202303期）

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、期刊主页：

https://www.sciopen.com/journal/2096-0654

（从清华大学出版社期刊中心官网进入）

5、出刊日期：季刊，逢季末月出版。

2023年8月28星期一

《大数据挖掘与分析（英文）》期刊简介

（Big Data Mining and Analytics）

【微信公众号“大数据挖掘与分析期刊”信息】

《大数据挖掘与分析(英文)》是由教育部主管，清华大学主办，清华大学出版社出版的国际化英文学术期刊。清华大学教授、中国工程院院士郑纬民和中国科学院深圳理工大学讲席教授、美国医学与生物工程院院士、英国皇家公共卫生学院院士、乌克兰国家工程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。期刊与IEEE Xplore和SciOpen合作，以开放获取（OA）模式发行。

自创办以来，《大数据挖掘与分析(英文)》获得“中国科技期刊国际影响力提升计划”“清华大学世界一流科技期刊集群发展计划”等项目资助。期刊得到了国内外学术界的关注与认可，陆续被ESCI，EI，Scopus，dblp computer science bibliography，Google Scholar，INSPEC，CSCD、DOAJ等检索收录。根据Elsevier最新发布的全球出版物影响力榜单，期刊2021 CiteScore（引用分）为12.8，位居全球计算机领域前4%。2021年，期刊入选“中国最具影响力国际学术期刊”。

《大数据挖掘与分析(英文)》得到国际认可离不开期刊主编和编委会团队、客座编辑、审稿专家和作者、读者们的倾力奉献和大力支持，在此致以衷心的感谢！我们将继续以建设世界一流期刊为目标，为国内外大数据研究者打造高端学术交流平台！

期刊主页：

https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8254253

https://www.sciopen.com/journal/2096-0654?issn=2096-0654

投稿链接：

https://mc03.manuscriptcentral.com/bdma

《大数据挖掘与分析（英文）》投稿指南

（Big Data Mining and Analytics）

【官网信息】

Submission Guidelines

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.

Text

The

text should contain an Introduction that puts the paper into

perspective for readers, and should also contain Methods, Results,

Discussion, and Conclusions. The SI system should be used for units of

measure throughout the text.

All

digital arts, including micrographs, line arts, and grayscale images,

included in the manuscript should be supplied in a separate electronic

file in TIFF, EPS, or JPEG format with a preferred resolution of 600 dpi

relative to the final figure size. All figures should be numbered using

Arab numerals and supplied with a figure caption. Please make sure that

all elements found in the figure are identified in the caption. Figures

should always be cited in text, such as Fig. 1, Fig. 2, in consecutive

numerical order.

All

tables should be numbered using Arab numerals and supplied with a table

title which explains clearly and concisely the components of the table.

Tables should not duplicate results presented elsewhere in the

manuscript (for example, in figures). Tables should always be cited in

the text, such as Table 1, Table 2, in consecutive numerical order.

Mathematical material &Acknowledgment

Mathematical

material The text should make clear distinctions between physical

variables, mathematical symbols, units of measurement, abbreviations,

etc. Authors should use italic and boldface to identify physical or

mathematical variables. Variables are to be set in normal italic, and

vectors, tensors, and matrixes in boldface.

Acknowledgment

The placement of the Acknowledgment appears after the final text of the

paper, just before the References and after any Appendix(es). All

financial support for the work should be listed here. Individuals,

affiliation, or other to be concerned who were of direct help in the

work should be acknowledged by a brief statement.

Article Processing charge (APC)

Big

Data Mining and Analytics is a subsidized open access journal where TUP

pays for the publishing costs incurred by the journal. Authors do not

have to pay any Article Processing Charge or Open Access Publication.

Others

References

Only essential references (formally published journals, articles,

monographs, dissertations, reports, proceedings, standards, patents,

and/or electronic publications) cited in the text can be listed and must

be numbered consecutively by Arabic numerals, which should be listed in

the same order as cited in the text. There should be at least ten

references.

Open

Access  The articles published in this journal are distributed under

the terms of the Creative Commons Attribution License which permits any

use, distribution, and reproduction in any medium, provided the original

author(s) and source are credited.

Ownership

The articles published in Big Data Mining and Analytics cannot be

published anywhere in any form without the written permission from Big

Data Mining and Analytics, Tsinghua University.

Manuscript template