Requirements of all submissions: 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.
Authors are invited to submit full papers describing original research work in areas including, but are not limited to:
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
• High-performance computing for big data processing
Track 2: Big Data Management and Storage• Big data storage architectures and models
• Distributed file systems for big data
• Data integration and federation
• Scalable data management
• Big data security and privacy
Track 3: Big Data Applications and Systems
• Internet of Things (IoT) and big data
• Social media analytics
• Healthcare and medical data mining
• Financial and business analytics
• Big data in smart cities
Track 4: Optics, Photonics, and Imaging in Big Data
• Optical data communication and networking
• Photonics-based sensors and devices for big data
• Imaging techniques for big data analysis
• Optics and photonics in data visualization
• Photonics-enabled data processing and storage
Track 5: Data Mining for Image and Video Analysis
• Image and video classification
• Object recognition and tracking
• Video summarization and retrieval
• Deep learning for image and video analysis
• Content-based image and video retrieval
Track 6: Natural Language Processing and Text Mining
• Text classification and sentiment analysis
• Information extraction and retrieval
• Text summarization and generation
• Named entity recognition and linking
• Multilingual text mining
BDMIP 2024 is Calling for Reviewers and Speakers
BDMIP 2024 is warmly inviting scholars and experts in the fields of Big Data Mining and Information Processing to consider serving as Reviewers. If you have an interest or you have someone to recommend, please send CV to the email address: bdmip@bdmip.net. We'll evaluate each CV carefully and select the suitable one.
Requirements for Reviewer/Speaker◆A professor or got doctorate.
◆The research area must be relevant to the conference.
◆The content of the speech needs to be fully forward-looking and innovative.
◆Experience in reviewer/keynote speaker at other conferences.
Benefits for Speaker
◆Attending the conference with 20% exclusive discount, including accommodation during the conference and all sessions, but not including round-trip air tickets.
◆Meet scholars from different countries who share the same related fields of your research.
◆To gain relevant research experience and potential collaboration opportunities.
◆Be a candidate for the TPC member of the next conference.
◆Award a Speaker Certificate.
Joining as Author: Giving oral/poster presentation on BDMIP 2024 with publishing your paper on the proceedings. Please submit your full paper to
Submission System before submission deadline. When registering your paper, you can indicate presentation type for oral or poster.
Joining as Listener: BDMIP 2024 will offer an ideal platform for presentation, discussion, criticism and exchange of innovative ideas and current challenges in the related fields. Without submitting paper, you also can email to
bdmip@bdmip.net for attending BDMIP 2024 as listener.
