Overview
The ACM Symposium on Applied Computing (SAC) is a leading global platform for applied computer scientists and engineers. The upcoming SAC 2026 will feature a dedicated track on Data Streams, sponsored by AI-BOOST, providing a forum for researchers to discuss advancements in data stream processing.
Background & Relevance
The rise of Big Data has brought forth significant challenges in managing and processing vast amounts of continuously generated information. Data streams, which include sources such as the Internet of Things (IoT), smart cities, and sensor networks, require efficient processing techniques due to their high-speed flow and non-stationary distributions. This track aims to address these challenges by fostering innovative research in algorithms and methods for data stream processing, highlighting its relevance in today’s data-driven landscape.
Key Details
- Paper Submission Deadline: October 10, 2025
- Author Notification Date: November 21, 2025
- Camera-Ready Copy Due: December 5, 2025
- Topics of Interest:
- Real-Time Analytics
- Data Stream Models
- Big Data Mining
- Large-Scale Machine Learning
- Continuous Queries
- Clustering from Data Streams
- Decision Trees and Rules from Data Streams
- Bayesian Networks and Feature Selection
- Visualization Techniques
- Incremental Online Learning Algorithms
- Distributed Stream Mining
- Urban Computing and Smart Cities
Eligibility & Participation
This call for papers invites contributions from researchers and practitioners working on all aspects of data streams. It targets individuals engaged in data mining, machine learning, and related fields, encouraging submissions that offer original insights and methodologies.
Submission or Application Guidelines
Authors should submit original papers adhering to the ACM 2-column camera-ready format. Key submission guidelines include:
– Double-Blind Review Process: Author names and affiliations must not be included in the paper body. Self-references should be made in the third person.
– Paper Length: Up to 8 pages, with an option for 2 additional pages (maximum of 10 pages total).
– Submission Format: Papers must be submitted in PDF format via the SAC 2026 Webpage.
– Registration: Paper registration is mandatory for inclusion in the proceedings, and at least one author must present the work at the conference.
For detailed formatting templates and submission guidelines, visit: ACM SAC 2026 Author Kit.
Additional Context / Real-World Relevance
The significance of data streams in the context of Big Data cannot be overstated. As industries increasingly rely on real-time data for decision-making, the development of efficient processing algorithms becomes critical. This track at SAC 2026 will contribute to the ongoing discourse in the AI/ML community, fostering collaboration and innovation.
Conclusion
Researchers are encouraged to submit their contributions to the Data Streams track at ACM SAC 2026. This is an excellent opportunity to share insights and advancements in the field of data stream processing. For more information and to submit your work, please visit the SAC 2026 Webpage.
Category: CFP & Deadlines
Tags: data streams, big data, machine learning, real-time analytics, acm sac, data mining, iot, urban computing
