BigData 2024 organizing committee invites you to participate in 2024 edition of BigData, to be held on November 16 - 19, 2024, Bangkok, Thailand.

BigData 2024's major topics include but not limited to: Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions.

The technical program of BigData 2024 will include a Research Track, an Application Track, and a Short Paper Track. The BigData 2024 tracks seeks original, UNPUBLISHED research papers reporting substantive new work in various aspects of data-based services. Research Track papers MUST clearly indicate their contributions to the field of AI or mobile Internet-based technologies, applications and solutions. All papers MUST properly cite related work in the field, such as those published in the proceedings of ICWS, SCC, CLOUD, AIMS, SERVICES, BigData, ICIOT, ICBC, EDGE, APSCC, ECOWS, and related journals including IJWSR and IJBPIM (see Literature Recommendations page).

In addition, two special tracks (Real-Time Big Data Analytics, and Big Data/Smart Cities) are included for BigData 2024.  The special tracks will significantly expand the scope of BigData to include innovative contributions that cover the entire lifecycle of big data research: (1) vision papers to point out emerging challenges, (2) data sets and benchmarks that enable innovative big data research, (3) technical papers that describe significant research output, (4) applications and experience papers that apply and evaluate research methods and tools, and (5) survey papers that organize and summarize important research results and resources. Accordingly, these broadly defined contributions will be evaluated by PC members with special interest and expertise in each phase of the research lifecycle: vision papers, research contributions, applications and experiences, and enabling resources that include data sets, benchmarks, and surveys. 

Technical topics of interest include but are not limited to the following: 

- Big Data for LLM
- NLP2SQL
- Big Data Storage
- Big Data Indexing
- Big Data Cleaning
- Big Data Modeling
- Big Data Analytics
- Big Data Applications
- Big Data Value Chain
- 5G for Big Data
- Big Data Security and Privacy