Big Data analytics are emerging fields that have recently drawn much attention from research communities in computer science, information technology, social science, and many other disciplines.  In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself. 2024 IEEE the 9th International Conference on Big Data Analytics (ICBDA) provides a leading forum for disseminating the latest research in Big Data Research, Development, and Application.

ICBDA calls for submission of work from a wide range of domains, including but not limited to Big Data Models and Algorithms, Big Data Architectures, Big Data Search and Mining, healthcare, social networks, and media. Authors are encouraged to submit papers covering big data topics, such as service-oriented technologies, machine learning, predictive analytics, data modeling, system architectures, data mining, and simulation. 

ICBDA2024 is co-sponsored by Waseda University, Japan and Research Institute of Big Data Analytics, Xi'an Jiaotong-Liverpool University, China. Prof. Steven Guan (Xi'an Jiaotong-Liverpool University, China) and Prof. Hayato YAMANA (Waseda University, Japan) take charge of the Conference Co-chairs.

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.

List of Topics

• Topics of interest include, but are not limited to:

  Big Data Models and Algorithms

  Foundational Models for Big DataAlgorithms and Programming Techniques for Big Data ProcessingBig Data Analytics and MetricsRepresentation Formats for Multimedia Big Data

  Big Data Architectures

  Cloud Computing Techniques for Big DataBig Data as a ServiceBig Data Open PlatformsBig Data in Mobile and Pervasive Computing

  Big Data Management

  Big Data Persistence and PreservationBig Data Quality and Provenance ControlManagement Issues of Social Network Big Data

Publication

After a careful reviewing process, all accepted papers after proper registration and presentation, will be published in the ICBDA 2024 conference Proceedings.

Venue

International Conference Center, Waseda University  

Address: 1 Chome-20-14 Nishiwaseda, Shinjuku-ku, Tokyo-to 169-0051 Japan 

Contact

Conference Secretary of ICBDA：Ms. Greta Shen

Drop us a line anytime at icbda2016@vip.163.com