A análise de agrupamentos como instrumento de apoio à melhoria da qualidade dos serviços aos clientes

Moori, Roberto Giro; Marcondes, Reynaldo Cavalheiro; Ávila, Ricardo Teixeira

doi:10.1590/s1415-65552002000100005

Cited by 9 publications

(6 citation statements)

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“…Using a value of k = 3 yielded the results in Table 4. As in the study by Moori et al (2002), variables with some kind of physical relationship tended to be closer to each other. Maximum temperature, minimum temperature and rain-free days clustered together in the first cluster.…”

Section: K-means Methodssupporting

confidence: 48%

A data-based model for predicting wildfires in Chapada das Mesas National Park in the State of Maranhão

2015

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Chapada das Mesas National Park extends over an area of 160,046 ha in the municipalities of Carolina, Riachão, Estreito and Imperatriz in the south central region of the state of Maranhão, northeast Brazil, in a savanna-like biome known as the Cerrado. The park has a rich biodiversity, making the need for conservation all the more important. The weather conditions in the region increase the likelihood of wildfires, so that a monitoring and control system for the area is needed to help conservation efforts. This article proposes a methodology that uses data-mining techniques to predict outbreaks of wildfires in the park some hours in advance. Predictive models using wildfire records and a meteorology dataset for 11 months in 2010 were built. Two different classification techniques for predicting wildfires were used: artificial neural networks and classification rules. The two models built with these techniques showed good accuracy when tested with the validation samples and could be used as additional tools for predicting the risk of fires in the area.

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Section: K-means Methodssupporting

confidence: 48%

A data-based model for predicting wildfires in Chapada das Mesas National Park in the State of Maranhão

2015

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“…The most important components of the variance were detected based on the scores established by the factorial analyses, and a grouping analysis hierarchy has been created to separate or classify the species into mutually exclusive groups so that the subgroups formed would demonstrate high internal similarities and large external differences (Moori et al, 2002 Ward's method was used to delimit the groups and their respective Euclidian distances. Discriminant analysis was used to verify the pertinence of the groups formed through grouping analysis, using Fisher's discriminant function, as determined according to Hair et al (2009).…”

Section: Statistical Analysesmentioning

confidence: 99%

Section: Statistical Analysesmentioning

confidence: 99%

“…The interpretation of the factors, regarding simplifying the data structure, was employed varimax type orthogonal rotation of the coordinate axes. The factorial scores were obtained using regression, considering a linear combination of the factors that underwent rotation and standardized measurements (Manly, 1997).The most important components of the variance were detected based on the scores established by the factorial analyses, and a grouping analysis hierarchy has been created to separate or classify the species into mutually exclusive groups so that the subgroups formed would demonstrate high internal similarities and large external differences (Moori et al, 2002 Ward's method was used to delimit the groups and their respective Euclidian distances. Discriminant analysis was used to verify the pertinence of the groups formed through grouping analysis, using Fisher's discriminant function, as determined according to Hair et al (2009).…”

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confidence: 99%

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Influence of functional traits on the demographic rates of 47 arboreal species in a tropical forest in northeastern Brazil

Monteiro¹,

Lima²,

Silva³

et al. 2017

J. Env. Anal. Progr.

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A B S T R A C TInfluence of functional traits on the demographic rates of 47 arboreal species in a tropical forest in northeastern Brazil. Based on the premise that species use different strategies for acquiring and maintaining resources, it is possible to identify similarities as determined by particular trade-offs between traits, the present work examined the specific leaf area (SLA), basic wood density (BWD), maximum height (Hmax) and seed shape (SS) of 47 arboreal species in an moist semievergreen tropical forest in northeastern Brazil and investigated the influence of those traits on plant mortality rates (MR) and growth (BAG). BWD and Hmax were the best predictors of mortality rates. Factorial analysis explained 70.4% of the total variability, distributed among three factors composed of traits and rates. MR and Hmax were found to be more readily observed when orthogonally rotated by the varimax method, with the first factor explaining 26.9% of the variance. Cluster analyses and principal component analyses, whose matrices contained the variables MR, BAG, SLA, and Hmax for each species, confirmed the discriminant analysis and allowed the identification of four functional groups. The fact that some of the correlations encountered differed from previously published results (such as the negative relationship between maximum height and mortality) may reflect regional climatic seasonality or indicate that this strategy benefits plant species that reach the upper canopy and thus become well-established. Keywords: Atlantic Forest, mortality, plant strategies, recruitment. IntroductionIn tropical environments, impacts of fragmentation have been intensively studied (Melo et al., 2013), investigations concerning the functional traits (Wright et al., 2007) and conflicting demands of plant performances (growth/survival and survival/ reproduction) have been undertaken in recent years with the objective of elaborating functional conservation plans, especially for arboreal species (Kitajima, 1994). The ability to identify and correlate functional characteristics with plant successes represents a useful tool for determining and evaluating ecological strategies (Wright et al., 2010).In a perspective of achieving an understanding of which functional traits influence the plant species success -principally survival, growth, and reproduction -Ackerly (2003) noted the importance of research focusing on understanding variation in its vital traits. A number of traits have been proposed as basic to plant strategies and their success (Diaz et al., 2004), including basic wood density (BWD), which directly influences plant longevity, their relative rate growth, resistance to damage, and carbon storage (Chave et al., 2006); maximum height (Hmax), which is related to competition for light, fecundity, and regeneration time (Cornelissen et al., 2003); seed shape (SS), which Journal of Environmental Analysis and Progress V. 02 N. 01 (2017) is associated with seed viability duration, seed persistence in the soil, initial growth and establ...

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“…Belfiore et al (2005) avaliaram a similaridade no comportamento dos 100 maiores grupos supermercadistas no Brasil por meio de técnicas de agrupamento. Moori et al (2002) aplicaram técnica de análise de agrupamento como instrumento para agregar produtos-chaves da empresa com características similares, para priorizar a qualidade de serviços aos clientes. Em todos os casos, o pesquisador está procurando uma estrutura "natural" entre as observações com base em um perfil multivariado, sendo por isso a análise de agrupamento apropriada para essa finalidade (HAIR et al, 2005).…”

Section: Introdução Geralunclassified

Perfil dos clientes de uma empresa prestadora de serviços de telefonia celular: Aplicação do método de agrupamento de Ward.

Tomaz

2018

MSJ

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Este trabalho teve como objetivo descrever o perfil dos clientes de uma filial de uma importante prestadora de serviços de telefonia celular da cidade de Ouro Preto, em Minas Gerais. A pesquisa possui caráter quantitativo e exploratório, sem pretensões de generalizações dos resultados encontrados. Para o desenvolvimento desta pesquisa foram utilizadas informações (geográficas e demográficas) dos clientes, disponíveis no banco de dados da empresa. Para analisar os dados utilizou-se técnica multivariada, denominada análise de agrupamento (cluster analysis). Essa técnica reúne observações (objetos, indivíduos, empresas, produtos, etc) em pequenos grupos mutuamente exclusivos com base nas similaridades entre as observações. A metodologia aplicada separou os 105 casos válidos (clientes) em dois grupos. Um dos grupos é formado em sua maioria por clientes que residem na periferia e que contrataram o serviço de telefonia móvel, plano 35. Já o outro grupo é composto em sua maioria por clientes residentes no centro da cidade e que contrataram o serviço de internet banda larga.

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A análise de agrupamentos como instrumento de apoio à melhoria da qualidade dos serviços aos clientes

Cited by 9 publications

References 0 publications

A data-based model for predicting wildfires in Chapada das Mesas National Park in the State of Maranhão

A data-based model for predicting wildfires in Chapada das Mesas National Park in the State of Maranhão

Influence of functional traits on the demographic rates of 47 arboreal species in a tropical forest in northeastern Brazil

Perfil dos clientes de uma empresa prestadora de serviços de telefonia celular: Aplicação do método de agrupamento de Ward.

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