ICBDA2025: 2025 the 10th International Conference on Big Data Analytics Nanyang Technological University (NTU@one-north) Singapore, Singapore, March 13-15, 2025 |
Conference website | https://www.icbda.org/ |
Submission link | https://easychair.org/conferences/?conf=icbda2025 |
Submission deadline | December 10, 2024 |
The realm of Big Data analytics has recently captured significant attention across diverse research communities including computer science, information technology, and social sciences. The term "Big Data" has taken on widespread significance, reshaping realms such as science, engineering, medicine, healthcare, finance, business, and even society at large. In this context, the 10th International Conference on Big Data Analytics (ICBDA2025), serves as a premier platform for disseminating cutting-edge research findings in the field of Big Data Research, Development, and Application.
ICBDA 2025 invites contributions from a broad spectrum of domains, encompassing, but not restricted to, Big Data Models and Algorithms, Big Data Architectures, Big Data Search and Mining, healthcare, social networks, and media applications. Authors are encouraged to submit papers covering a diverse array of big data topics, such as service-oriented technologies, machine learning, predictive analytics, data modeling, system architectures, data mining, and simulation.
Sponsored by the Research Institute of Big Data Analytics at Xi'an Jiaotong-Liverpool University, China, and Waseda University, Japan. ICBDA2025 brings together distinguished experts in the field. Prof. Steven Guan from Xi'an Jiaotong-Liverpool University, China, and Prof. Hayato YAMANA from Waseda University, Japan, have taken on the roles of Conference Co-chairs, ensuring the event's intellectual vibrancy and academic excellence.
Submission Guidelines
Paper submissions should be limited to a maximum of ten (10) pages, in the 2-column format, including any possible appendices. Submissions longer than 10 pages will be rejected without review. All submissions will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to scope of the conference, originality, significance, and clarity. The following sections give further information for authors.
Accepted papers will be published in the conference proceedings. All manuscripts are submitted as full papers and are reviewed based on their scientific merit. The reviewing process is confidential. All paper submissions will be carefully reviewed by two experts and reviews will be returned to the author(s) with comments to ensure the high quality of the accepted papers.
Submission Methods
- Please log in the Electronic Submission System; ( .pdf only) to submit your full paper and abstract.
- For any inquiry about the conference, please feel free to contact us at: icbda2016@vip.163.com.
Paper Review
All papers will undergo a thorough peer review process. Accepted full papers that are presented at the conference will be published in proceedings. Publishing through IEEE provides authors with a reputable, global platform on which to share their research with an audience which includes corporate researchers, academia and government.
Call for Reviewers
ICBDA is further developing its standing technical program committee member (TPC). This year’s TPC is vetting reviewers who have excelled in their field of research and/or engaged in significant practice, and are ready to contribute quality and timely reviews for the conference. If you are interested to apply, please send your CV to us: icbda2016@vip.163.com
List of Topics
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Big Data Models and Algorithms
Foundational Models for Big Data
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Algorithms and Programming Techniques for Big Data Processing
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Big Data Analytics and Metrics
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Representation Formats for Multimedia Big Data
Big Data Architectures
Cloud Computing Techniques for Big Data
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Big Data as a Service
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Big Data Open Platforms
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Big Data in Mobile and Pervasive Computing
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...etc
Publication
After a careful reviewing process, all accepted papers after proper registration and presentation, will be published in the ICBDA 2025 conference Proceedings
Venue
Nanyang Technological University (NTU@one-north)
Address: 11 Slim Barracks Rise Singapore 138664
Contact
Ms. Greta Shen
Drop us a line anytime at icbda2016@vip.163.com