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Combining classification and clustering for tweet sentiment analysis
(Universidade de São Paulo - USPUniversidade Federal de São Carlos - UFSCarCentro de Robótica de São Carlos - CROBSociedade Brasileira de Computação - SBCSociedade Brasileira de Automática - SBASão Carlos, 2014-10)
The goal of sentiment analysis is to determine opinions, emotions, and attitudes presented in source material. In tweet sentiment analysis, opinions in messages can be typically categorized as positive or negative. To ...
Cluster analysis and artificial neural network on the superovulatory response prediction in mice
(2012-06-13)
Complex biological systems require sophisticated approach for analysis, once there are variables with distinct measure levels to be analyzed at the same time in them. The mouse assisted reproduction, e.g. superovulation ...
Identification of production environments in Angus populations of Brazil and Uruguay using cluster analysis.
(In: WORLD CONFERENCE ON ANIMAL PRODUCTION, 9., 2003, Porto Alegre. Proceedings... Porto Alegre: SBZ: WAAP: ALPA: UFRGS , 2003., 2003)
ClusMAM: fast and effective unsupervised clustering of large complex datasets using metric access methods
(Association for Computing Machinery - ACMUniversity of PisaScuola Superiore Sant’AnnaPisa, 2016-04)
An efficient and effective clustering process is a core task of data mining analysis, and has become more important in the nowadays scenario of big data, where scalability is an issue. In this paper we present the ClusMAM ...
Simulation and analysis applied on virtualization to build Hadoop clusters
(Ieee, 2015-01-01)
The data growth enhances the need of a method and paradigms responsible to deal with high scalability, reliability and fault tolerance in large amounts of data. Big Data is a framework capable of dealing with this need. ...
Labeling methods for association rule clustering
(2012-09-10)
Although association mining has been highlighted in the last years, the huge number of rules that are generated hamper its use. To overcome this problem, many post-processing approaches were suggested, such as clustering, ...
Clustering de séries temporais para acompanhamento de culturas de cana-de-açúcar.
(In: SIMPÓSIO INTERNACIONAL DE INICIAÇÃO CIENTÍFICA DA UNIVERSIDADE DE SÃO PAULO, 19., 2011, São Carlos. [S.l.: s.n.], 2011., 2011)
On the association of young star: clusters and their parental clouds: a statistical fractal analysis
(International Astronomical UnionFlorianópolis, 2013)
We present a study of 21 young star clusters aiming to characterize their association to dense cllouds. The structure of the clouds was evaluated by means of the Q statistical fractal analysis, designed to compare their ...
Automatic visual dictionary generation through Optimum-Path Forest clustering
(2012-12-01)
Image categorization by means of bag of visual words has received increasing attention by the image processing and vision communities in the last years. In these approaches, each image is represented by invariant points ...
Static Video Summarization through Optimum-Path Forest Clustering
(Springer, 2014-01-01)
This paper introduces the Optimum-Path Forest (OPF) classifier for static video summarization, being its results comparable to the ones obtained by some state-of-the-art video summarization techniques. The experimental ...