ACM Symposium on Applied Computing Data Streams Track
in conjunction with ACM Symposium on Applied Computing: The 33rd Annual ACM Symposium on Applied Computing in Pau, France, April 9 - 13, 2018.Topics
We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to:
- Real-Time Analytics
- Data Stream Models
- Big Data Mining
- Large Scale Machine Learning
- Languages for Stream Query
- Continuous Queries
- Clustering from Data Streams
- Decision Trees from Data Streams
- Association Rules from Data Streams
- Decision Rules from Data Streams
- Bayesian networks from Data Streams
- Feature Selection from Data Streams
- Visualization Techniques for Data Streams
- Incremental on-line Learning Algorithms
- Single-Pass Algorithms
- Temporal, spatial, and spatio-temporal data mining
- Scalable Algorithms
- Real-Time and Real-World Applications using Stream data
- Distributed Stream Mining
- Social Network Stream Mining
- Urban Computing, Smart Cities
- Internet of Things (IoT)