FuzzStream: Fuzzy data stream clustering based on the online-offline framework

Systems capable of generating data quickly and continuously, known as data streams, are a reality today and tend to increase. Due to the nature of data streams, unsupervised learning, such as clustering algorithms, is appropriate. In addition, techniques derived from fuzzy set theory can be useful a...

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Bibliographic Details

Published in:	IEEE International Fuzzy Systems conference proceedings pp. 1 - 6
Main Authors:	de Abreu Lopes, Priscilla, de Arruda Camargo, Heloisa
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2017
Subjects:	Algorithm design and analysis Clustering algorithms Integrated circuits Maintenance engineering Partitioning algorithms Proposals Prototypes
ISSN:	1558-4739
Online Access:	Get full text
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