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.

The electronic manuscript should be sent to the editorial board through ScholarOne Manuscripts at http://mc03.manuscriptcentral.com/bdma.

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.

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.

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.

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 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.

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.

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.