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ANÁLISE DE DADOS DE FISIOLOGIA DE PLANTAS APOIADA POR TÉCNICAS DE VISUALIZAÇÃO DE INFORMAÇÕES

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Author(s): Lidiane de Andrade Parisi | Almir Olivette Artero | Gustavo Maia Souza

Journal: Colloquium Exactarum
ISSN 2178-8332

Volume: 3;
Issue: 2;
Start page: 114;
Date: 2011;
Original page

Keywords: Plant Physiology | Data Analysis | Information Visualization

ABSTRACT
This paper presents an alternative proposal for the analysis of data from plant physiology, using as support, information visualization techniques. These techniques can generate visualizations directly from data of high dimensionality, which can help to understand the data and serve to support the identification of the most relevant attributes for the discrimination of species. The selection of the most important parameters is essential for the construction of a classification model, either using a Bayesian classifier or Artificial NeuralNetwork.
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