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Clustering data streams using a forgetful neural model
- Source :
- SAC
- Publication Year :
- 2016
- Publisher :
- ACM, 2016.
-
Abstract
- To cluster a data stream is a more challenging task than its regular batch version, having stricter performance constraints. In this paper an approach to this problem is presented, based on WiSARD, a memory-based artificial neural network (ANN) model. This model functioning was reviewed and improved, in order to adapt it to this task. The experimental results obtained support the use of this system for the analysis of data streams in an informative way.
- Subjects :
- Data stream
Artificial neural network
Computer science
business.industry
Data stream mining
02 engineering and technology
computer.software_genre
Machine learning
Task (project management)
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Data mining
Artificial intelligence
Cluster analysis
business
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 31st Annual ACM Symposium on Applied Computing
- Accession number :
- edsair.doi...........e4fc55587a8cdf1f16dd6715202c5427