Call for Papers: Data Streams Track at ACM SAC 2026
Notice: Heads up: This article was published more than 6 months ago. Details, links, or policies may have changed since then.
Submit your research on data streams and large-scale machine learning to the Data Streams Track at ACM SAC 2026 by September 26, 2025.
The ACM Symposium on Applied Computing (SAC) invites original research contributions for its Data Streams Track at SAC 2026, sponsored by AI-BOOST. The track focuses on data stream processing, addressing challenges posed by the exponential growth in Big Data.
Topics of interest include, but are not limited to:
- Real-Time Analytics
- Data Stream Models
- Big Data Mining
- Large-Scale Machine Learning
- Continuous Queries
- Clustering from Data Streams
- Visualization Techniques for Data Streams
Important dates:
- Paper Submission Deadline: September 26, 2025
- Author Notification: October 31, 2025
- Camera-Ready Copy Deadline: December 5, 2025
For submission guidelines and templates, visit https://www.sigapp.org/sac/sac2026/authorkit.php. Submit papers via the SAC 2026 Webpage.
Tags: Data Streams, ACM SAC 2026, Big Data, Machine Learning, Real-Time Analytics, Large-Scale Machine Learning