• +86-18653226419
  • bdmip@bdmip.net
  • 18653226419

Conference Date
Dec. 18th-20th 2025

Conference Venue
Xiamen, China

Submission Due
Sep. 30th 2025

Important Dates

Paper Submission Opens:

July 15th, 2025
Paper Submission Deadline:

September 30th, 2025
Notification of Acceptance:

October 20th, 2025
Last Date of Registration:

November 20th, 2025

 

Call for Papers

Track 1: Big Data Analytics and Machine Learning

  • Data mining techniques for big data

  • Machine learning algorithms for big data analysis

  • Predictive analytics and modeling

  • Deep learning for big data

Track 2: Big Data Management and Storage

  • Big data storage architectures and models

  • Distributed file systems for big data

  • Data integration and federation

Track 3: Big Data Applications and Systems

  • Internet of Things (IoT) and big data

  • Social media analytics

Track 4: Optics, Photonics, and Imaging in Big Data

  • Optical data communication and networking

  • Imaging techniques for big data analysis

Track 5: Data Mining for Image and Video Analysis

  • Image and video classification

  • Object recognition and tracking

Track 6: Natural Language Processing and Text Mining

  • Text classification and sentiment analysis

  • Information extraction and retrieval

Read more

Welcome to BDMIP 2025

The 2025 International Conference on Big Data Mining and Information Processing (BDMIP 2025) will be held in Xiamen, China, from December 18th to 20th, 2025. The event is sponsored by Xiamen University Tan Kah Kee College, and technically co-sponsored by Shenzhen University.

The conference will showcase scientific research aimed at addressing challenges in big data mining, application, management, and security. Key objectives include:

-Fostering scientific and practical advancements to support the integration of big data technologies into various societal domains;

-Promoting fundamental and applied research in big data, with a particular focus on data mining and data security;

-Developing recommendations to enhance computational models, research methodologies, engineering approaches, and technologies in practical big data applications.

Big data technologies have significantly advanced the understanding of complex data representations, enabling innovative modeling and processing methods across various scientific disciplines. Addressing data-intensive tasks such as segmentation, causal inference, and generative modeling is essential for driving scientific breakthroughs. Moreover, increasing attention is being paid to model interpretability, particularly through the integration of AI and big data.

Accordingly, the theme of BDMIP 2025 is: Enhancing Scientific Discovery through Advanced Big Data Technologies.


 

Post-Proceedings Publication

Submissions will be reviewed by Technical Committees based on originality, novelty, relevance to the conference topics, significance, clarity, and overall structure. Accepted and presented papers will be published in the electronic proceedings and are expected to be indexed in Ei Compendex and Scopus, subject to quality assessment.

 

Proceedings Records

BDMIP-24 proceedings are currently under publication by ACM-ICPS and will be made available in the ACM Digital Library shortly.


BDMIP-23 proceedings have been published by ACM-ICPS, included in ACM Digital Library, and indexed by Ei Compendex. View Details

 

Submission Requirements

1. All submissions must be original (not submitted/published anywhere else) and written in English following the mentioned Template;

2. The article must be relevant to one of the conference topics;

3. The article should contain: "Materials and Methods", "Results", "Discussion" and "Conclusion" (section "Acknowledgments" is written if necessary);

4. The number of page of the article should be 10 – 12 pages, no fewer than 3,000 words;

5. The recommended number of authors should not exceed 5;

6. The number of references in the list of references must be at least 10;

7. Self-citation should not exceed 10%;

8. The originality of the article is not less than 80%;

9. All authors must be familiar with and agree to the license terms;

10. Upload your paper to Submission System no later than the specified deadline.


Sponsor

 

Technical Co-Sponsors

   

Contact us

Conference Secretary: Millor Lee
TEL: +86-18653226419
E-mail: bdmip@bdmip.net
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