| dc.creator | Soares, Victor Hugo Andrade | |
| dc.creator | Santos, Joelson Antônio dos | |
| dc.creator | Naldi, Murilo Coelho | |
| dc.date | 2019-03-11T17:53:14Z | |
| dc.date | 2019-03-11T17:53:14Z | |
| dc.date | 2018-01 | |
| dc.date.accessioned | 2023-09-27T21:38:23Z | |
| dc.date.available | 2023-09-27T21:38:23Z | |
| dc.identifier | 19835604 | |
| dc.identifier | https://doaj.org/article/312c47b382184147bf589646b05e02d5 | |
| dc.identifier | http://www.locus.ufv.br/handle/123456789/23856 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8963907 | |
| dc.description | The development of new technologies is
responsible for the generation and storage of continuous
and massive amounts of data. Such type of data is
known as data stream. The analysis of data streams may
be advantageous in many fields, like bioinformatics,
medicine, companies and others, as it may result in
important information about the data. In this work,
we propose a new software tool for Data Visualization
that permits the analysis of the evolution of clusters
in real time during the data streaming. The proposed
visualization tool is add-on for SAMOA, a new variant
of MOA (Massive Online Analysis) for massive data
streams mining and processing distribution. | |
| dc.format | pdf | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | Revista de Sistemas de Informação da FSMA | |
| dc.relation | Number 15, Pages 30- 39, January/ June 2015 | |
| dc.rights | Open Access | |
| dc.subject | Data mining | |
| dc.subject | Data streams | |
| dc.subject | Data visualization | |
| dc.title | Visualization in Big Data: a tool for pattern recognition in data stream | |
| dc.type | Artigo | |
