From: Daniel C. <dan...@us...> - 2025-06-14 16:07:02
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IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2025) We are pleased to announce that the “12th IEEE/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 IEEE/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. The PDF version of the BDCAT 2025 Call for Papers may be downloaded HERE <https://bdcat2025.gitlabpages.inria.fr/web/call/call-for-papers.pdf>. Authors are invited to submit original, unpublished research manuscripts in all areas of Big Data computing, applications, and technologies, as well as on related scaling data analysis.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): 1. 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 2. 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 3. 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 4. 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 Paper Submission Submitted manuscripts must represent original and unpublished research that is not currently under review for any other conference or journal. Manuscripts should be submitted in PDF format and may not exceed ten (10) IEEE-formatted double-column pages, including figures, tables, and references. All manuscripts undergo a double-blind peer-review process and will be reviewed and judged on correctness, originality, technical strength, rigor in analysis, quality of results, quality of presentation, and interest and relevance to the conference attendees. Your submission is subject to a determination that you are not under any sanctions by ACM. Accepted papers will later be converted into single-column format through the ACM TAPS process and therefore need to use the new templates that are single-column by default. Switch them to double-column for authoring your paper. This is possible in both the Word and the LaTeX templates. At least one author per accepted paper must register for the conference in order for the paper to be published in the proceedings. The conference proceedings will be published by the ACM and made available online via the IEEE Xplore Digital Library and ACM Digital Library. Important Dates Time zone: Anywhere on Earth (AoE) Paper Submission Deadline: 5 September 2025 Acceptance Notification: 17 October 2025 Camera Ready Papers Due: Mid-November 2025 Awards and Special Issues A selection committee chaired by the BDCAT 2025 conference co-chairs will select and acknowledge the best paper to receive an award during the conference. Authors of highly rated papers from BDCAT 2025 will be invited to submit an extended version to special issues of prestigious journals. Best regards, Daniel Cordeiro University of São Paulo, Brazil https://each.usp.br/dc/ |