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Clustering data streams using a forgetful neural model

Title
Clustering data streams using a forgetful neural model
Type
Article in International Conference Proceedings Book
Year
2016
Authors
Cardoso, DdO
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Other
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França, FMG
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Other
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João Gama
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FEP
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Conference proceedings International
Pages: 949-951
31st Annual ACM Symposium on Applied Computing, SAC 2016
4 April 2016 through 8 April 2016
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Authenticus ID: P-00K-H7W
Abstract (EN): 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. © 2016 ACM.
Language: English
Type (Professor's evaluation): Scientific
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