# BigData'' — International Conference on Big Data

- **Submission deadline**: 2026-05-21
- **Notification date**: 2026-06-15
- **Conference date**: 2026-08-22
- **Location**: Kuala Lumpur, Malaysia
- **Conference Partner Index**: 48.4/100 (ranked #1952, confidence 0.45, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 3
- **Attendees**: 2
- **Canonical page**: https://www.myhuiban.com/conference/3448

## Call for papers

Topics BigData 2026's major topics include but are 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 2026 will include a Research Track, an Application Track, and a Short Paper Track. The BigData 2026 tracks seek original, UNPUBLISHED research papers reporting substantive new work in various aspects of data-based services.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, BigData, METAVERSE, EDGE, ICIOT, ICCC, AIMS, ICBC, SERVICES, 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 2026. 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

## Related conferences

- BigData — International Conference on Big Data — https://www.myhuiban.com/conference/1523
- IEEE BigData — IEEE International Conference on Big Data — https://www.myhuiban.com/conference/3582
- BigData' — ASE International Conference on Big Data — https://www.myhuiban.com/conference/1794
- BigData Congress — International Congress on Big Data — https://www.myhuiban.com/conference/1266
- Big Data — International Conference on Big Data — https://www.myhuiban.com/conference/1315

## Related journals

- Journal of Big Data — https://www.myhuiban.com/journal/428
- Big Data Research — https://www.myhuiban.com/journal/357
- IEEE Transactions on Multimedia — https://www.myhuiban.com/journal/152
- Knowledge-Based Systems — https://www.myhuiban.com/journal/227
- Software & Systems Modeling — https://www.myhuiban.com/journal/99

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Source: Conference Partner — https://www.myhuiban.com/conference/3448 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)