Conference Information

BDCAT 2025: IEEE/ACM International Conference on Big Data Computing, Applications and Technologies

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Submission Date:
2025-09-05 Extended
Notification Date:
2025-10-17
Conference Date:
2025-12-01
Location:
Nantes, France
Years:
12
Viewed: 23934   Tracked: 13   Attend: 4

Call For Papers

BDCAT 2025 (IEEE/ACM International Conference on Big Data Computing, Applications and Technologies) is an academic conference held in Nantes, France on 2025-12-01. The paper submission deadline is 2025-09-05 (extended). Acceptance notifications are sent on 2025-10-17.

We are pleased to announce that the “12th ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2025)” will be held in Nantes, France between 1st and 4th December, 2025. Recent years have witnessed significant interest in the use of Machine Learning and AI-based techniques to support large-scale data analysis, with research and implementation of systems specifically focused on supporting different phases of the data processing lifecycle. These have ranged from in-memory systems and distributed environments (e.g., MapReduce/Hadoop, Spark) to specialist environments for stream processing of data and events (e.g., Flink, Kinesis) and Serverless (e.g., OpenWhisk, AWS Lambda). On the other hand, we also recognize the importance of computational systems required to process small data volumes, but which involve interdependencies and relationships that are hard to capture and derive. The ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) is a premier annual international conference series aiming to provide a forum for researchers from both academia and industry to present and discuss new discoveries in the broad area of big data computing and applications. Previous events were held in London, UK (BDCAT 2014), Limassol, Cyprus (BDCAT 2015), Shanghai, China (BDCAT 2016), Austin, USA (BDCAT 2017), Zurich, Switzerland (BDCAT 2018), Auckland, New Zealand (BDCAT 2019), Leicester, UK (BDCAT 2020), Leicester, UK (BDCAT 2021), Vancouver, USA (BDCAT 2022), Taormina, Italy (BDCAT 2023), Sharjah, UAE (BDCAT 2024). The BDCAT 2025 will be held in conjunction with the 18th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2025) in Nantes, France. Authors are invited to submit original, unpublished research manuscripts in all areas of Big Data computing, applications and technologies, as well as on related scaling data analysis. Topics of interest include (but not limited to): Machine Learning and Data Mining Data Science Models and Approaches Supervised, Unsupervised, Semi-supervised and Reinforcement Learning Neural Networks, Convolution Neural Networks and Recurrent Neural Networks Autoencoders, Transformer, Large Language Model Natural Language Understanding, Natural Language Processing Swarm Intelligence and Evolutionary Strategy Computational Efficient Model Training, Inference and Serving Distributed, Federated and Parallel Learning Algorithms Fairness, Interpretability and Explainability Data Processing and Infrastructures/Platforms Data Acquisition, Integration, Cleaning and Best Practices Scalable Computing Models, Theories and Algorithms Mapreduce: Hadoop and Spark Privacy and Security over the Data Life Cycle Data Search and Information Retrieval Techniques Extract/Transform/Load (ETL) or ETL Pipelines In-Memory Systems and Platforms Performance Evaluation Reports Storage Systems (including file systems, NoSQL, and RDBMS) Resource Management Approaches Data Analytics on Edge Devices Fault Tolerance and Reliability Energy-Efficiency and Sustainability Data Archival and Preservation Testing, Debugging and Monitoring Specialized Hardware for Scaling Applications Domains Internet of Things, Mobile Applications and Cyber-Physical Systems Healthcare and Life Science (e.g., Genome Processing) Physical Science and Engineering Business and Enterprise Applications Social Network Analysis Scientific Case Studies and Workflows Risk Analysis and Management Cloud-Edge Continuum Data Streaming and Batch Applications Data Trends and Challenges Data Visualization and Analytics Visual Analytics Algorithms and Foundations Graph and Context Models for Visualization Analytics Reasoning and Sense-making Visual Representation and Interaction Data Transformation and Presentation
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