An overview of recent distributed algorithms for learning fuzzy models in Big Data classification
Abstract Nowadays, a huge amount of data are generated, often in very short time intervals and in various formats, by a number of different heterogeneous sources such as social networks and media, mobile devices, internet transactions, networked devices and sensors. These data, identified as Big Dat...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-03-01
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Series: | Journal of Big Data |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40537-020-00298-6 |