ACM Symposium on Applied Computing
Data Streams Track

in conjunction with ACM Symposium on Applied Computing:
The 27th Annual ACM Symposium on Applied Computing
in Trento University, Italy, March 25-29, 2012.

2 Topics

A data stream is an ordered sequence of instances that can be read only once or a small number of times. Topics include but are not restricted to:

  • Data Stream Models
  • 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