Clustering Search
Mostrando 1-12 de 78 artigos, teses e dissertações.
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1. What is the best Cardiovascular Risk Score for the Brazilian Population?
Malaria, a parasitic infection caused by Plasmodium falciparum, is a serious global public health problem. The enzyme enoyl-acyl carrier protein (ACP) reductase present in a limiting step in the biosynthesis of fatty acids type II was used to search for novel molecules with potential inhibitor by virtual screening techniques. A flavonoid library obtained in
Int. J. Cardiovasc. Sci.. Publicado em: 2020-12
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2. Identification of Flavonoids as Inhibitors of Plasmodium falciparum Enoyl-ACP Reductase by Hierarchical Virtual Screening
Malaria, a parasitic infection caused by Plasmodium falciparum, is a serious global public health problem. The enzyme enoyl-acyl carrier protein (ACP) reductase present in a limiting step in the biosynthesis of fatty acids type II was used to search for novel molecules with potential inhibitor by virtual screening techniques. A flavonoid library obtained in
J. Braz. Chem. Soc.. Publicado em: 2020-12
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3. Combinations of distance measures and clustering algorithms in pepper germplasm characterization
RESUMO Com o aumento da perda da variabilidade genética e a procura por genótipos mais adaptados e produtivos, a caracterização e a avaliação dos genótipos conservados em um banco de germoplasma são de elevada importância. Essas podem ser obtidas de várias formas, gerando dados quantitativos e qualitativos. A análise conjunta dessas variáveis pod
Hortic. Bras.. Publicado em: 18/07/2019
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4. Agrupamento de espécies madeireiras da Amazônia com base em propriedades físicas e mecânicas
Resumo A procura intensa por essências madeireiras nativas consolidadas, que apresentam elevado uso, pode ocasionar a superexploração de espécies e diminuição do seu estoque na floresta. Uma alternativa para essa situação é a substituição dessas espécies por outras com propriedades da madeira semelhantes e com suficiente estoque de crescimento na
Ciênc. Florest.. Publicado em: 30/05/2019
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5. Resolução de um caso real do problema dial-a-ride multicritério via clustering search
Este artigo apresenta um clustering search (CS) para o problema dial-a-ride (DARP) multicritério presente na cidade de Vitória (ES). Em Vitória, os usuários especificam requisições de transporte entre origens e destinos com janelas de tempo para os horários de embarque e desembarque; o transporte é realizado por uma frota homogênea de veículos loca
Prod.. Publicado em: 23/07/2013
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6. Clustering search
This paper presents the Clustering Search (CS) as a new hybrid metaheuristic, which works in conjunction with other metaheuristics, managing the implementation of local search algorithms for optimization problems. Usually the local search is costly and should be used only in promising regions of the search space. The CS assists in the discovery of these regi
Pesqui. Oper.. Publicado em: 2013-04
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7. Evaluación de sitios web de postgrados biomédicos en España
The aim of this work is to create a tool for assessing the quality of the information on postgraduate course websites at Spanish universities. An evaluation checklist was developed and applied to the 131 websites of postgraduate biomedical courses with quality accreditation in Spanish universities. The website evaluations were analysed with the application o
Transinformação. Publicado em: 2012-04
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8. Soluções aproximadas para algoritmos escaláveis de mineração de dados em domínios de dados complexos usando GPGPU / On approximate solutions to scalable data mining algorithms for complex data problems using GPGPU
The increasing availability of data in diverse domains has created a necessity to develop techniques and methods to discover knowledge from huge volumes of complex data, motivating many research works in databases, data mining and information retrieval communities. Recent studies have suggested that searching in complex data is an interesting research field
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 22/09/2011
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9. Aprendizado não supervisionado de hierarquias de tópicos a partir de coleções textuais dinâmicas / Unsupervised learning of topic hierarchies from dynamic text collections
The need to extract new and useful knowledge from large textual collections has motivated researchs on Text Mining methods. Among the existing methods, initiatives for the knowledge organization by topic hierarchies are very popular. In the topic hierarchies, the knowledge is represented by topics and subtopics, and each topic contains documents of similar c
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 19/05/2011
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10. Abordagens heurísticas para problemas de agrupamentos / Heuristics approaches for clustering problems
The clustering problems arose from the need to group data in order to understand an object or a phenomenon still unknown. Data clustering is based on similarity between objects of a data set, where the most similar objects are in the same group. This work proposes three new heuristics approaches to clustering problems: the \textit{Variable Neighborhood Searc
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/02/2011
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11. Uma metodologia para caracterização do tráfego de redes de computadores: uma aplicação em detecção de anomalias / Methodology for traffic characterization of computer networks: an application in anomaly detection
The methods of intrusion detection based on anomalies model the default behavior of network traffic and identify anomalies as deviations from the behavior model mapped. The modeling of traffic behavior requires the analysis of large datasets to extract knowledge about the particularities of each network environment, considering the services provided, number
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 24/02/2011
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12. Information geometric similarity measurement for near-random stochastic processes
We outline the information-theoretic differential geometry of gamma distributions, which contain exponential distributions as a special case, and log-gamma distributions. Our arguments support the opinion that these distributions have a natural role in representing departures from randomness, uniformity, and Gaussian behavior in stochastic processes. We show
Publicado em: 2011