42 resultados para Cluster Analysis. Information Theory. Entropy. Cross Information Potential. Complex Data
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Química - IQ
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Pós-graduação em Agronomia (Energia na Agricultura) - FCA
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Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV
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Developmental Coordination Disorder (DCD), a chronic and usually permanent condition found in children, is characterized by motor impairment that interferes with a child's activities of daily living and with academic achievement. One of the most popular tests for the quantitative diagnosis of DCD is the Movement Assessment Battery for Children (MABC). Based on the Battery's standardized scores, it is possible to identify children with typical development, children at risk of developing DCD, and children with DCD. This article describes a computational system we developed to assist with the analysis of results obtained in the MABC test. The tool was developed for the web environment and its database provides integration of MABC data. Thus, researchers around the world can share data and develop collaborative work in the DCD field. In order to help analysis processes, our system provides services for filtering data to show more specific sets of information and present the results in textual, table, and graphic formats, allowing easier and more comprehensive evaluation of the results.
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This piece of research aims at analyzing the absolute and relative co-citation indicators, especially Salton’s Cosine and comparing the contribution of these indicators to the understanding of a domain, applying them to the universe of "Metric Studies" at the BRAPCI base. It also aims at presenting the co-citation network generated from the absolute frequencies and highlighting the groupings of co-cited authors, depending on the relative values, integrating and explaining the information from the two indexes. The domain analysis, by means of its 11 approaches, including “Bibliometric Studies”, focuses on the science characterization and evaluation, in that it allows us to identify and to analyze the conditions under which the scientific knowledge is constructed and socialized. In these studies, the contribution of citation and co-citation analysis is highlighted. Of the total of 147 articles retrieved at BRAPCI base, the authors cited in at least 11 articles, in a total of 38 researchers, were selected. The 38 x 38 symmetric matrix with the absolute frequencies of co-citation and the matrix with the relative values of Salton’s Cosine were generated. The co-citation network with absolute frequency values were constructed, through Ucinet software. Cluster analysis of data with relative values wer performed, using the SPSS software. Significant differences between the absolute and relative indexes, with some high absolute values of co-citation were observed; when considered in relation to the presence of each author, their significance is decreased. As to the generated network, seven groups were determined, in which only one is established for close themes and comes from co-citations in the original sense of the term. Five groups present closeness in absolute and relative indicators. It can be concluded about the importance of the studies of authors' co-citation analysis, which associate the two indexes, absolute and relative, in order to visualize and understand the underlying structures of a scientific domain.
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The growing interest in the use of groundwater resources is directly related to the economic advantages that the groundwater exploitation offers when compared to surface waters. This happens especially in large urban centers, such as the city of Americana / SP, where the rivers are increasingly contaminated by household and industrial waste. Therefore, this study aimed to characterize the Tubarão Aquifer System, in the city of Americana, to identify and evaluate the spatial distribution of different hydrogeochemical facies as well as understand the rock-fluid interaction through the construction of a conceptual hydrogeochemical model. This study was made based on the recognition of the possible chemical reactions that print the chemical characteristics of groundwater in the area. To do the job, there were two water sampling campaigns of all deep wells used by the City of Americana public water supply. From the results of hydrochemical, classification of water was made by Piper and Stiff diagrams as well as geostatistical data using cluster analysis of principal components. Based on information from the profiles obtained from the survey SIAGAS as well as in geological profiles provided by the city of Americana, we sought to detail the subsurface geology of the Subgroup Itararé in the city of Americana. The results obtained allowed the identification of three hydrochemical types in the study area: Bicarbonated calcium-sodium (1), bicarbonate sodium (2) and sodium chloride (3). The waters have bicarbonate alkaline pH to alkaline and can be considered weakly saline, with electrical conductivity values of around 161 mS / cm. Samples classified as sodium bicarbonate average of 174.99 mS / cm. The pH values ranging from 6.74 to 7.99, averaging 7.52. For the group of waters classified as sodium chloride, conductivity average is 164.32 mS / cm and pH values ranging... (Complete abstract click electronic access below)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The increase in new electronic devices had generated a considerable increase in obtaining spatial data information; hence these data are becoming more and more widely used. As well as for conventional data, spatial data need to be analyzed so interesting information can be retrieved from them. Therefore, data clustering techniques can be used to extract clusters of a set of spatial data. However, current approaches do not consider the implicit semantics that exist between a region and an object’s attributes. This paper presents an approach that enhances spatial data mining process, so they can use the semantic that exists within a region. A framework was developed, OntoSDM, which enables spatial data mining algorithms to communicate with ontologies in order to enhance the algorithm’s result. The experiments demonstrated a semantically improved result, generating more interesting clusters, therefore reducing manual analysis work of an expert.
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The multivariate analysis grouping was used to characterize the productive and climate profile of southeastern of Mato Grosso state. This technique allowed the junction of similar micro regions from characteristics of productivity and climatic, without the need for the assumption of the number or structure of the groups. Cluster analysis allowed the design of a mosaic of spatial heterogeneity regions. It established different profiles in the composition of groups, joining the more traditional in the culture of a species, or more productive, or those for the development of a particular culture. The results obtained by estimation of the climatic parameters and the multivariate procedures enabled the provision of systematic information that will allow farmers to better decision-making on the competitiveness and maintaining the flow of investment in agricultural sector southeastern Mato Grosso.
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Pós-graduação em Saúde Coletiva - FMB