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

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Submit Your Paper

Conference Date
13th-15th Dec. 2024

Conference Venue
Xiamen, China

Submission Due
30th Sep. 2024
30th Nov. 2024

Important Dates

Opening of Paper Submissions:

25th December 2023

Paper Submissions Last Date:

30th September 2024

30th November 2024
Notification of Acceptance:
7th December 2024

 

Call for Paper

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 BDMIP2024

2024 International Conference on Big Data Mining and Information Processing will be held in Xiamen on December 13th-15th, 2024, which is Organized by INTERSCIENCE Institute of Management & Technology (IIMT), Bhubaneswar; co-sponsored by Xiamen University Tan Kah Kee College and technically co-sponsored by Beijing Normal University (Zhuhai), Shenzhen University.

The conference will present scientific research aimed at solving a set of problems in big data mining and search, as well as big data management and security, namely:

-Development of scientific and practical potential to formulate proposals for the introduction of big data technology in aspects of society;

-Popularization of fundamental and applied research in big data, especially the data mining and data security;

-Formation of recommendations to improve computer models, research methods, engineering, and technologies in practical research and applications of big data.

As is well known, big data technologies have achieved great success in learning complex representations of data, enabling novel modeling and data processing approaches across many scientific fields. Tackling a range of associated data-intensive tasks, including but not limited to segmentation, causal reasoning, and generative modeling, is critical for advancing scientific discovery in these and many other areas. Additionally, the ability to interpret what a model has learned, especially through the combination of AI and big data, is receiving increasing attention. Therefore, in 2024, we adopt the theme of BDMIP as: Enhancing scientific discovery through advanced big data technologies.

 

Post-Proceedings Publication

The conference's technical committees will review submissions based on originality, relevance to the conference, structure, significance, novelty and readability. Accepted and presented papers will be published in the e-proceedings, which will be indexed in Ei and Scopus databases.

 

Proceedings Record

BDMIP-23 proceedings published by ACM-ICPS and included in ACM Digital Library. View Details

 

Submission Requirements

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

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

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 8-10 pages, no less 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 the license agreement;

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

Sponsors

 

Technical Co-Sponsors

   

Organizer

 

 

Contact us

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