The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered.
The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.
An Article in Press is an early access version of an accepted manuscript, allowing research to be accessible earlier to readers. It may be subject to further editing, as errors affecting the content may be discovered during the final production process. These files have undergone enhancements after acceptance but are not yet the Version of Record (VOR)
This version of your manuscript will be watermarked and all legal disclaimers relating to the journal apply. Please find information related to these policies within the author submission guidelines.
If you are organising a press release for your accepted manuscript, please contact your production editor.
Corrections and amendments will not be made to the Article in Press as the accepted manuscript will still go through the proofing process where these items can be addressed.
Journal of Big Data - Top 10 Cited Articles in 2024
We want to thank the authors of our most downloaded articles in 2024 and highlight to our readers some of the most impactful research to have published in the journal. We hope that you will find the data interesting!
Journal of Big Data - Special Issue Proposal Submission Guidelines
The Journal of Big Data welcomes Special Issues (SI) on timely topics related to the field at large. The objective of Special Issues is to bring together recent and high-quality works in a research domain, to promote key advances in specific research areas covered by the journal, and to provide overviews of the state-of-the-art in emerging domains.
Preparing a proposal All Guest Editors who wish to organize a Special Issue must send a proposal to Drs. Borivoje Furht bfurht@fau.edu and Taghi Khoshgoftaar khoshgof@fau.edu with the following requirements:
· Title · Short description · List of topics of interest · A few sentences explaining the importance of the topic and relevance to the journal’s aims and scope · Manuscript submission deadline · Guest Editor details: Name, Email, Affiliation, Bio and Short CV (incl. list of at most 5 publications related to the SI proposal and links to their institutional webpages) · Nomination of the Lead Guest Editor · Draft call for papers (if applicable)
General Notes This Journal adheres to the standard Peer Review Policy, Process and Guidance as outlined by Springer under Editorial Policies.
After acceptance of the proposed topic, Guest Editors will manage the peer review process of the special issue and must obtain a minimum of 2 reviews for each paper. Guest Editors should be well established experts in the domain of the topic or closely related fields. The Editors-in-Chief are responsible for the final content published in the journal.
We require our Guest Editors to familiarize themselves with the editorial and publication policies of the journal and our Springer Nature Code of Conduct before they undertake their SI. Please find links to these below: Submission guidelines JoBD Peer-Review Policy Code of Conduct
For SIs originating from conferences or workshops, papers are expected to be developed and extended by 60% with new material. The title and abstract should be updated.
A complete SI will contain a minimum of 5 published articles.
Article Processing Charges Authors who publish open access in Journal of Big Data are required to pay an article processing charge (APC). The APC price will be determined from the date on which the article is accepted for publication. Current APC information is available here.
Visit our open access support portal, our Journal Pricing FAQs and open access funding & support for further information.
Open Access Funding Springer Nature offers agreements that enable institutions to cover open access publishing costs. Authors can learn more about our open access agreements to check their eligibility and discover whether this journal is included.
Springer Nature offers APC waivers and discounts for articles published in our fully open access journals whose corresponding authors are based in the world’s lowest income countries (see our APC waivers and discounts policy for further information). Requests for APC waivers and discounts from other authors will be considered on a case-by-case basis, and may be granted in cases of financial need (see our open access policies for journals for more information). All applications for discretionary APC waivers and discounts should be made by authors at the point of manuscript submission within the submission system. Requests made during the review process or after acceptance cannot be considered.
Publishing your research open access in a journal makes your research publicly available for everyone to read. Readers do not have to pay for access; there are no subscription charges or registration barriers. This means more readers, citations and impact for research published this way.
Benefits of open access
Publishing open access (OA) offers a number of benefits, including greater reach and readership for your
work:
Cited more
1.6x more citations of OA articles than non-OA articles across all subjects
Downloaded more
4x more downloads of OA articles than non-OA articles
Greater impact
2.5x more Altmetric attention. OA articles attracted 1.9x more news mentions and 1.2x more policy
mentions
Open access also enables compliance with many major funder policies internationally. Find out
more about benefits of open
access.
Fees and funding
Publication fee
An article processing charge (APC) applies for each article accepted for publication in Journal of Big Data.
The APC price will be determined from the date on which the article is accepted for publication.
The current APC for Journal of Big Data is £1440.00 GBP / $2290.00 USD / €1990.00 EUR.
This fee is subject to VAT or local taxes where applicable.
Springer Nature offers agreements that enable institutions to cover open access publishing costs. Learn more about
our open access
agreements to check your eligibility and find out whether this journal is included.
Authors may also be able to access open access funding directly from their research funders and institutions. To find
out more, visit Springer Nature’s open
access funding and support services.
Discounts and waivers
Springer Nature offers APC waivers and discounts for articles published in our fully open access journals whose
corresponding authors are based in the world’s lowest income countries. For more information, see our APC waivers
and discounts policy.
Requests for APC waivers and discounts from other authors will be considered on a case-by-case basis, and may be
granted in cases of financial need. Learn more about our open access
policies for journals.
All applications for discretionary APC waivers and discounts should be made at the point of manuscript submission;
requests made during the review process or after acceptance are unable to be considered.
Creative Commons licences
Open access articles in Springer Nature journals are published under Creative Commons licences. These provide an industry-standard framework to support easy re-use of open access material. Under Creative Commons licences, authors retain copyright of their articles.
Journal of Big Data articles are published open access under a CC BY-NC-ND (Creative Commons Attribution Non-Commercial No Derivatives 4.0 International licence) or CC BY (Creative Commons Attribution 4.0 International licence) licence.
CC BY-NC-ND: The article can be shared for non-commercial purposes as long as the authors are credited. Permission is needed for commercial re-use or sharing adapted and derivative versions.
CC BY: The article may be shared and adapted for any purpose, including commercially, so long as the authors are credited.
The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered.
The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.
Fees and funding
Journal of Big Data is an open access journal.
Publishing your research open access in a journal makes your research publicly available for everyone to read. Readers do not have to pay for access; there are no subscription charges or registration barriers. This means more readers, citations and impact for research published this way.
Benefits of open access
Publishing open access (OA) offers a number of benefits, including greater reach and readership for your
work:
Cited more
1.6x more citations of OA articles than non-OA articles across all subjects
Downloaded more
4x more downloads of OA articles than non-OA articles
Greater impact
2.5x more Altmetric attention. OA articles attracted 1.9x more news mentions and 1.2x more policy
mentions
Open access also enables compliance with many major funder policies internationally. Find out
more about benefits of open
access.
Publication fee
An article processing charge (APC) applies for each article accepted for publication in Journal of Big Data.
The APC price will be determined from the date on which the article is accepted for publication.
The current APC for Journal of Big Data is £1440.00 GBP / $2290.00 USD / €1990.00 EUR.
This fee is subject to VAT or local taxes where applicable.
Springer Nature offers agreements that enable institutions to cover open access publishing costs. Learn more about
our open access
agreements to check your eligibility and find out whether this journal is included.
Authors may also be able to access open access funding directly from their research funders and institutions. To find
out more, visit Springer Nature’s open
access funding and support services.
Discounts and waivers
Springer Nature offers APC waivers and discounts for articles published in our fully open access journals whose
corresponding authors are based in the world’s lowest income countries. For more information, see our APC waivers
and discounts policy.
Requests for APC waivers and discounts from other authors will be considered on a case-by-case basis, and may be
granted in cases of financial need. Learn more about our open access
policies for journals.
All applications for discretionary APC waivers and discounts should be made at the point of manuscript submission;
requests made during the review process or after acceptance are unable to be considered.
Licensing and copyright
Creative Commons licences
Open access articles in Springer Nature journals are published under Creative Commons licences. These provide an industry-standard framework to support easy re-use of open access material. Under Creative Commons licences, authors retain copyright of their articles.
Journal of Big Data articles are published open access under a CC BY-NC-ND (Creative Commons Attribution Non-Commercial No Derivatives 4.0 International licence) or CC BY (Creative Commons Attribution 4.0 International licence) licence.
CC BY-NC-ND: The article can be shared for non-commercial purposes as long as the authors are credited. Permission is needed for commercial re-use or sharing adapted and derivative versions.
CC BY: The article may be shared and adapted for any purpose, including commercially, so long as the authors are credited.
Use SI units: Please ensure that all special characters used are embedded in the text, otherwise they will be lost during conversion to PDF
Do not use page breaks in your manuscript
File formats
The following word processor file formats are acceptable for the main manuscript document:
Microsoft word (DOC, DOCX)
Rich text format (RTF)
TeX/LaTeX
Please note: editable files are required for processing in production. If your manuscript contains any non-editable files (such as PDFs) you will be required to re-submit an editable file when you submit your revised manuscript, or after editorial acceptance in case no revision is necessary.
Additional information for TeX/LaTeX users
You are encouraged to use the Springer Nature LaTeX template when preparing a submission. A PDF of your manuscript files will be compiled during submission using pdfLaTeX and TexLive 2021.
All relevant editable source files must be uploaded during the submission process. Failing to submit these source files will cause unnecessary delays in the production process.
Data and materials
All Springer Open journals strongly encourage or require authors to provide all datasets on which the conclusions of their manuscripts rely. You may either deposit datasets in publicly available repositories (where available and appropriate) or present them in the main paper or in additional supporting files. Please provide datasets in a machine-readable format (such as spreadsheets rather than PDFs). You will find data repository guidance in our editorial policies.
To find out if providing data is an absolute requirement for your submission, please read the relevant article-type information.
Where there is a widely established research community expectation for data archiving in public repositories, submission to a community-endorsed public repository is mandatory.
For all manuscripts, information about data availability should be detailed in an ‘Availability of data and materials’ section. For more information on the content of this section, please see the ‘Declarations’ section of the relevant journal’s article type page in the submission guidelines. Read more about our policies on data availability.
Formatting the 'Availability of data and materials' section of your manuscript
The following format for the 'Availability of data and materials section of your manuscript should be used:
"The dataset(s) supporting the conclusions of this article is(are) available in the [repository name] repository, [unique persistent identifier and hyperlink to dataset(s) in https:// format]."
The following format is required when data are included as additional files:
"The dataset(s) supporting the conclusions of this article is(are) included within the article (and its additional file(s))."
Springer Open endorses the Force 11 Data Citation Principles and requires that all publicly available datasets be fully referenced in the reference list with an accession number or unique identifier such as a DOI.
For databases, this section should state the web/ftp address at which the database is available and any restrictions to its use by non-academics.
Please also check the submission guidelines for the relevant journal and article type.
What should be cited?
Only articles, clinical trial registration records and abstracts that have been published or are in press, or are available through public e-print/preprint servers, may be cited.
Unpublished abstracts, unpublished data and personal communications should not be included in the reference list, but may be included in the text and referred to as "unpublished observations" or "personal communications" giving the names of the involved researchers. Obtaining permission to quote personal communications and unpublished data from the cited colleagues is the responsibility of the author. Only footnotes are permitted. Journal abbreviations follow Index Medicus/MEDLINE.
Any in-press articles cited within the references and necessary for the reviewers' assessment of the manuscript should be made available if requested by the editorial office.
How to format your references
Please check the Instructions for Authors for the relevant journal and article type for examples of the relevant reference style.
Web links and URLs: All web links and URLs, including links to the authors' own websites, should be given a reference number and included in the reference list rather than within the text of the manuscript. They should be provided in full, including both the title of the site and the URL, as well as the date the site was accessed, in the following format:
The Mouse Tumor Biology Database. https://tumor.informatics.jax.org/mtbwi/index.do. Accessed 20 May 2013.
If an author or group of authors can clearly be associated with a web link, such as for weblogs, then they should be included in the reference.
Authors may wish to make use of reference management software to ensure that reference lists are correctly formatted.
When preparing figures, please follow the formatting instructions below.
Figures should be numbered in the order they are first mentioned in the text, and uploaded in this order. Multi-panel figures (those with parts a, b, c, d etc.) should be submitted as a single composite file that contains all parts of the figure.
Figures should be uploaded in the correct orientation.
Figure titles (max 15 words) and legends (max 300 words) should be provided in the main manuscript, not in the graphic file.
Figure keys should be incorporated into the graphic, not into the legend of the figure.
Each figure should be closely cropped to minimise the amount of white space surrounding the illustration. Cropping figures improves accuracy when placing the figure in combination with other elements when the accepted manuscript is prepared for publication on our site. For more information on individual figure file formats, see our detailed instructions.
Individual figure files should not exceed 10 MB. If a suitable format is chosen, this file size is adequate for extremely high-quality figures.
Please note that it is the responsibility of the author(s) to obtain permission from the copyright holder to reproduce figures (or tables) that have previously been published elsewhere. In order for all figures to be open access, authors must have permission from the rights holder if they wish to include images that have been published elsewhere in non open access journals. Permission should be indicated in the figure legend, and the original source included in the reference list.
Figure file types
We accept the following file formats for figures:
EPS (suitable for diagrams and/or images)
PDF (suitable for diagrams and/or images)
Microsoft Word (suitable for diagrams and/or images, figures must be a single page)
PowerPoint (suitable for diagrams and/or images, figures must be a single page)
TIFF (suitable for images)
JPEG (suitable for photographic images, less suitable for graphical images)
PNG (suitable for images)
BMP (suitable for images)
CDX (ChemDraw - suitable for molecular structures)
Figure size and resolution
Figures are resized during publication of the final full text and PDF versions to conform to the Springer Open standard dimensions, which are detailed below.
Figures on the web:
width of 600 pixels (standard), 1200 pixels (high resolution).
Figures in the final PDF version:
width of 85 mm for half page width figure
width of 170 mm for full page width figure
maximum height of 225 mm for figure and legend
image resolution of approximately 300 dpi (dots per inch) at the final size
Figures should be designed such that all information, including text, is legible at these dimensions. All lines should be wider than 0.25 pt when constrained to standard figure widths. All fonts must be embedded.
Figure file compression
Vector figures should if possible be submitted as PDF files, which are usually more compact than EPS files.
TIFF files should be saved with LZW compression, which is lossless (decreases file size without decreasing quality) in order to minimise upload time.
JPEG files should be saved at maximum quality.
Conversion of images between file types (especially lossy formats such as JPEG) should be kept to a minimum to avoid degradation of quality.
If you have any questions or are experiencing a problem with figures, please contact our customer service team at info@springeropen.com.
Preparing tables
When preparing tables, please follow the formatting instructions below.
Tables should be numbered and cited in the text in sequence using Arabic numerals (i.e. Table 1, Table 2 etc.).
Tables less than one A4 or Letter page in length can be placed in the appropriate location within the manuscript.
Tables larger than one A4 or Letter page in length can be placed at the end of the document text file. Please cite and indicate where the table should appear at the relevant location in the text file so that the table can be added in the correct place during production.
Larger datasets, or tables too wide for A4 or Letter landscape pages can be uploaded as additional files. Please see [below] for more information.
Tabular data provided as additional files can be uploaded as an Excel spreadsheet (.xls ) or comma-separated values (.csv). Please use the standard file extensions.
Table titles (max 15 words) should be included above the table, and legends (max 300 words) should be included underneath the table.
Tables should not be embedded as figures or spreadsheet files, but should be formatted using ‘Table object’ function in your word processing program.
Color and shading may not be used. Parts of the table can be highlighted using superscript, numbering, lettering, symbols or bold text, the meaning of which should be explained in a table legend.
Commas should not be used to indicate numerical values.
If you have any questions or are experiencing a problem with tables, please contact our customer service team at info@springeropen.com.
Preparing additional files
As the length and quantity of data is not restricted for many article types, authors can provide datasets, tables, movies, or other information as additional files.
All additional files will be published along with the accepted article. Do not include files such as patient consent forms, certificates of language editing, or revised versions of the main manuscript document with tracked changes. Such files, if requested, should be sent by email to the journal’s editorial email address, quoting the manuscript reference number. Please do not send completed patient consent forms unless requested.
Results that would otherwise be indicated as "data not shown" should be included as additional files. Since many web links and URLs rapidly become broken, Springer Open requires that supporting data are included as additional files, or deposited in a recognised repository. Please do not link to data on a personal/departmental website. Do not include any individual participant details. The maximum file size for additional files is 20 MB each, and files will be virus-scanned on submission. Each additional file should be cited in sequence within the main body of text.
If additional material is provided, please list the following information in a separate section of the manuscript text:
File name (e.g. Additional file 1)
File format including the correct file extension for example .pdf, .xls, .txt, .pptx (including name and a URL of an appropriate viewer if the format is unusual)
Title of data
Description of data
Additional files should be named "Additional file 1" and so on and should be referenced explicitly by file name within the body of the article, e.g. 'An additional movie file shows this in more detail [see Additional file 1]'.
Ask a colleague who is a native English speaker to review your manuscript for clarity.
Use a professional language editing service.
Language editing and manuscript preparation services
Many researchers find that Springer Nature Author Services can improve how their manuscripts are read and make it easier for readers to appreciate the work.
Our expert-provided services cover:
English language improvement
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We offer authors publishing with us a 15% discount the first time they use this service. Get started and save 15%.
Language quality checker
You can also upload your manuscript and get a free language check from our partner AJE. The software uses AI to make suggestions that can improve writing quality. Trained on 300,000+ research manuscripts from more than 400+ areas of study and over 2000 field-specific topics the tool will deliver fast, highly accurate English language improvements. Your paper will be digitally edited and returned to you within approximately 10 minutes. Try the tool for free now.
Please note that using these tools, or any other service, is not a requirement for publication and does not imply or guarantee that editors will accept the article, or even select it for peer review.
Prepare supporting information
Please make sure you have the following information available before you submit your manuscript:
Author information
Full names and email addresses of all co-authors on your manuscript.
Cover letter
A cover letter that includes the following information, as well as any additional information requested in the instructions for your specific article type (see Prepare your manuscript):
An explanation of why your manuscript should be published in Journal of Big Data
An explanation of any issues relating to journal policies
A declaration of any potential competing interests
Confirmation that all authors have approved the manuscript for submission
Confirmation that the content of the manuscript has not been published, or submitted for publication elsewhere (see our Duplicate publication policy)
If you are submitting a manuscript to a particular special issue, please refer to its specific name in your covering letter
Peer reviewers
In your cover letter, you may suggest potential peer reviewers for your manuscript. If you wish to do so, please provide institutional email addresses where possible, or information which will help the Editor to verify the identity of the reviewer (for example an ORCID or Scopus ID). Intentionally falsifying information, for example, suggesting reviewers with a false name or email address, will result in rejection of your manuscript and may lead to further investigation in line with our misconduct policy.
You may also enter details of anyone who you would prefer not to review your manuscript, in your cover letter.
Peer review is the process used to evaluate the quality of a manuscript before publication. Independent researchers in the relevant field assess submitted manuscripts to check their validity and robustness. Their feedback guides editors in making publication decisions.
Typically, two or more experts evaluate each manuscript based on three main criteria:
scientific robustness: is the research methodology sound and valid, and does the data support the conclusions?
originality: does the research duplicate work that has already been published?
clarity: is the manuscript clear and coherent enough for publication?
Editors make their decisions based on the reviewers' reports and may consult with members of the editorial board if necessary.
Journal of Big Data operates a single-anonymous peer review system, where the reviewers are aware of the names and affiliations of the authors, but the reviewer reports provided to authors are anonymous.
Single-anonymous peer review is the traditional model of peer review that many reviewers are comfortable with, and it facilitates a dispassionate critique of a manuscript.
All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.
A manuscript transfer provides a convenient way of resubmitting your manuscript file and any reviewer comments to another journal within our publishing portfolio.
We are committed to helping you find the right home for your research and we’ll provide you with guidance and technical support through all stages of the transfer process.
Manuscript not accepted in chosen journal
Possible alternatives offered
Your manuscript is transferred to a new journal
Assessment and peer review takes place
What are the benefits of a transfer?
Choice – A transfer offer provides a selection of suitable alternative journals within Springer Nature. This helps ensure that you find an appropriate home for your research, so that it reaches the right audience.
Save time – No reformatting is necessary and files can be automatically transferred.
What is the Transfer Desk?
The Transfer Desk helps authors who have not been successful in their original submission.
If your research is of good quality, it may be suitable for another journal.
The Transfer Desk aims to deliver choice and support to you as an author, by presenting a range of publication options and information about suitable journals, and providing personal assistance to help you find the best home for your research.
How does the Transfer Desk work?
A Transfer Desk Editorial Submission Advisor will combine your preferences and any editor recommendations with our journal-matching technology to find the best journal for your work within our portfolio.
If you choose to follow the steps to transfer your manuscript to a new journal, your input will be needed, both to agree to the transfer and to complete the submission to the new journal.
What if I do not want to transfer my manuscript at all?
Your manuscript will not be transferred without your input. After an editor rejects a manuscript and suggests it may be suitable for a transfer, the editor will send out their decision letter including details of transfer options.
If you want to decline a transfer, you can follow a link within the decision letter and your file will be closed. Likewise, if you don’t take any action regarding the offer, your file will remain closed.
Withdrawing a transfer
You can withdraw a transfer at any point during the transfer by contacting the Transfer Desk. You are under no obligation to submit your manuscript to the journals suggested by the Editor or Transfer Desk Assistant.
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The Journal of Big Data invites submissions to a special issue featuring extended versions of selected papers from the 24th International Conference on Machine Learning and Applications (ICMLA 2025). This sp...
The Journal of Big Data invites submissions to a Special Issue associated with the 24th Australasian Data Science and Machine Learning Conference (AusDM 2026), to be held in Sydney, Australia, from 2–4 Decem...
We invite researchers, practitioners, and industry experts to submit original contributions to this special issue/track focused on AI‑driven data engineering for Earth and Space Sciences. This collection add...
The rapid growth of multimodal data—such as text, images, sensor streams, graphs, and structured records—has made cross-modal integration critical for modern large-scale data analysis. However, the heterogen...
The Australasian Data Science and Machine Learning (AusDM) Conference has firmly established itself as the premier Australasian meeting point for both practitioners and researchers in Data Science, Data Anal...
As technologies involving the detection of emotional and cognitive states become more integrated into our daily lives, there is an emerging need to further develop techniques that use large-scale multimodal ...
Over the past few decades, interest in applying statistical analysis and modeling techniques to sports has been constantly growing. This trend is evident from the increasing body of scientific research and t...
Journal of Big Data is calling for submissions to our Collection on Customization and fine-tuning of machine learning models. The special issue seeks papers on topics related to machine learning applications...
Journal of Big Data is calling for submissions to our Collection on "Advancements on Automated Data Platform Management, Orchestration, and Optimization" in conjunction with papers accepted from the workshop...
Journal of Big Data is launching a special Collection entitled, 'Emergent architectures and technologies for big data management and analysis,’ with papers accepted from the Big Data in Emergent Distributed ...
The aim of this Collection is to shed the newest light on the problems in engineering that could be effectively solved only with the application of Big Data techniques enhanced with the appropriate artificia...
The aim of this Collection is to shed the newest light on the problems in science that could be effectively solved only with the application of Big Data techniques enhanced with the appropriate artificial in...
This special issue seeks submissions from academia, industry and governmental research labs presenting novel research on all theoretical and practical aspects related to both sides of green and sustainable A...
Journal of Big Data welcomes submissions to the thematic series "Big Data in Human Behaviour Research: A contextual turn?" Despite its considerable contributions, big data analytics has long been criticized ...
This two-part special issue for the Journal of Big Data covers computationally intensive problems in engineering and focuses on mathematical mechanisms of interest for emerging problems such as Partial Diffe...
This two-part special issue for the Journal of Big Data covers computationally intensive problems in engineering and focuses on mathematical mechanisms of interest for emerging problems such as Partial Diffe...
Big data & business intelligence, data management, data science, artificial intelligence, data quality management, knowledge graphs & semantic web, information and data security, data ethics, digital transformation, digitization.
exploratory multivariate analysis; cluster analysis and classification; big data and data science; fuzzy clustering; robust clustering; clustering of time series; clustering of spatial data; interval-valued data analysis; clustering for data with complex structures; statistics for democracy, electoral studies, sport, social sciences, political science, finance and tourism.
Artificial Intelligence, Generative and Agentic AI, ESG and Green Financial Technology, Big Data Analytics, Electronic Commerce, Information Systems Evaluation, and Biomedical Informatics
Deep Learning, Deep Learning Architectures, Deep Learning Models for applications involving complex and large volumes of data, deep learning in image classification, machine learning in pattern classification
Internet of Things, Wireless Sensor Networks, Big Data, Machine Learning, Deep Learning, Artificial Intelligence, Image Processing, Security and Privacy
Big Data Analytics, Data Integration, Data Mining, Spatio-temporal Data Processing, Query Optimization for Emerging Databases, Multidimensional Indexing
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