Relevant bibliographies by topics / Multidimensional

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Academic literature on the topic 'Multidimensional'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 February 2023

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Journal articles on the topic "Multidimensional"

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Bersisa, Mekonnen, and Almas Heshmati. "A Distributional Analysis of Uni-and Multidimensional Poverty and Inequalities in Ethiopia." Social Indicators Research 155, no. 3 (February 2, 2021): 805–35. http://dx.doi.org/10.1007/s11205-021-02606-w.

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AbstractThis study analyzes uni-and multidimensional poverty and inequalities in rural and small towns in Ethiopia. Unlike the unidimensional measure, the multidimensional measure of poverty shows all the channels through which poverty may manifest itself; it also shows the extent of deprivation. The analysis uses 6 dimensions with 14 indicators to construct a multidimensional index of poverty and inequalities using Ethiopian Households’ Socioeconomic Survey dataset. The study also uses multiple correspondence analyses for determining relative weights in computing a multidimensional index and conducts a stochastic dominance analysis of distribution of poverty for different population segments. The paper sheds light on the degree of inequalities in consumption expenditure and multidimensional deprivations. In addition, it also compares the degree of poverty using the conventional measure of poverty and the multidimensional approach. It also examines the determinants of household poverty status using both unidimensional and multidimensional measures using the logit model. The results show that the intensity, severity, and depth of poverty varies substantially across the 2 measures. The unidimensional measure of poverty shows that 36 percent of the households were poor as compared to 46 percent multidimensionally poor households. Moreover, demographic, regional, and household heads’ characteristics also affect households’ poverty status.
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Chen, Zhenmin, and Tieyong Hu. "Statistical Test for Bivariate Uniformity." Advances in Statistics 2014 (October 19, 2014): 1–6. http://dx.doi.org/10.1155/2014/740831.

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The purpose of the multidimension uniformity test is to check whether the underlying probability distribution of a multidimensional population differs from the multidimensional uniform distribution. The multidimensional uniformity test has applications in various fields such as biology, astronomy, and computer science. Such a test, however, has received less attention in the literature compared with the univariate case. A new test statistic for checking multidimensional uniformity is proposed in this paper. Some important properties of the proposed test statistic are discussed. As a special case, the bivariate statistic test is discussed in detail in this paper. The Monte Carlo simulation is used to compare the power of the newly proposed test with the distance-to-boundary test, which is a recently published statistical test for multidimensional uniformity. It has been shown that the test proposed in this paper is more powerful than the distance-to-boundary test in some cases.
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Wu, Bo, and Yu-Hui Zhang. "A Class of Multidimensional Q-Processes." Journal of Applied Probability 44, no. 01 (March 2007): 226–37. http://dx.doi.org/10.1017/s0021900200002825.

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In this paper we present some necessary conditions for the uniqueness, recurrence, and ergodicity of a class of multidimensionalQ-processes, using the dual Yan-Chen comparison method. Then the coupling method is used to study the multidimensional processes in a specific space. As applications, three models of particle systems are illustrated.
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Zhang, Zhidong, and Luis Garcia. "Examining Dimensionality and Validity of the Academic Integrity Survey Instrument." Journal of Education and Development 7, no. 1 (February 8, 2023): 46. http://dx.doi.org/10.20849/jed.v7i1.1326.

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Dimensional reduction is one of the methods to ensure the quality of a questionnaire. This study examined two methods to reduce the dimension of the questionnaire: multidimensional scaling (MDS) and exploratory factor analysis (EFA). The questionnaire, Awareness of Academic Dishonesty consists of 30 questions. Participants included 110 college students. Multidimensional scaling analysis reduced the multidimensions to essentially two dimensions. The exploratory factor analysis reduced the multidimensions to three dimensions. MDS allowed the researchers to evaluate the questionnaire items by looking at the similarities of these data points. EFA provided an alternative thought about the construct of the questionnaire.
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Prates, Elivania Magalhães, Andréa Da Silva Gomes, Ronaldo Lima Gomes, Fernanda Calasans Costa Lacerda Pessoti, Mônica De Moura Pires, and Monick Midlej do Espírito Santo. "ANÁLISE DA POBREZA SOB A PERSPECTIVA MULTIDIMENSIONAL NOS TERRITÓRIOS DE IDENTIDADE DA BAHIA." InterEspaço: Revista de Geografia e Interdisciplinaridade 7, no. 20 (March 26, 2021): 202102. http://dx.doi.org/10.18764/2446-6549.e202102.

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ANALYSIS OF POVERTY FROM A MULTIDIMENSIONAL PERSPECTIVE IN THE BAHIA'S IDENTITY TERRITORIESANÁLISIS DE LA POBREZA DESDE UNA PERSPECTIVA MULTIDIMENSIONAL EN LOS TERRITORIOS DE IDENTIDAD DE BAHIARESUMOSob a perspectiva multidimensional e com base no conceito de pobreza desenvolvido por Amartya Sen, cuja noção elaborada refere-se à ausência ou privação de capacidades básicas, este trabalho mensura e analisa a pobreza nos Territórios de Identidade da Bahia. Para tanto, utiliza-se o Índice de Pobreza Multidimensional - IPM criado pela Iniciativa de Pesquisas em Pobreza e Desenvolvimento Humano da Universidade de Oxford, em parceria com o Programa das Nações Unidas para o Desenvolvimento. Foram utilizados os microdados da amostra do censo demográfico do Instituto Brasileiro de Geografia e Estatística – IBGE referentes ao ano de 2010. Os resultados da pesquisa mostram que a proporção de pobres multidimensionais no estado da Bahia corresponde a 25,46%. Os indicadores que carecem de maior atenção são: anos de escolaridade, saneamento e coleta de lixo, os quais apresentaram maiores percentuais de privações para diversos territórios baianos. Com relação à intensidade, verificou-se que sua manifestação na Bahia é maior que sua incidência, resultando em 36,96% a média de privações compartilhadas pelos indivíduos multidimensionalmente pobres. O IPM se apresentou mais crítico para os Territórios de Identidade Bacia do Rio Corrente (0,143) e Baixo Sul (0,141); já para a Bahia, esse resultado foi de 0,094. A mensurabilidade torna-se importante para melhor embasar as políticas públicas de assistência social e de promoção do desenvolvimento dos territórios.Palavras-chave: Pobreza; Capacitações; Índice Multidimensional.ABSTRACTThis study aims at measuring and analyzing the state of poverty in Identity Territories of Bahia under multidimensional approach based on the concept of poverty of absence or deprivation of basic capabilities by Amartya Sen. The present research measured poverty using the Multidimensional Poverty Index - MPI created by Poverty and Human Development Initiative (OPHI) at the University of Oxford, in a partnership with the United Nations Development Programme (UNDP). Micro-data on the basis of demographic census of 2010 carried out by Brazilian Institute of Geography and Statistics (IBGE) was used. The survey results show that the proportion of multidimensional poorness is corresponding to 25.46%. The qualitative indicators that need further attention are: years of schooling, sanitation and garbage collection. They had higher percentages of deprivation among the Territories. Regarding to the intensity, Bahia has higher numbers if compared to the incidence rates, resulting 36.96% in the average of the deprivation of multidimensional poorness. The MPI was more critical to the Identity Territories of Bacia do Rio Corrente (0.143) and Baixo Sul (0.141) compared to Bahia which result was 0.094. The measurability of poverty becomes important to better endorse public policies on social assistance and to better promote the development of the Territories.Keywords: Poverty; Capability; Multidimensional Index.RESUMENEste documento mide y analiza la pobreza en los Territorios de Identidad de Bahía desde una perspectiva multidimensional y basada en el concepto de pobreza desarrollado por Amartya Sen como ausencia o privación de habilidades básicas. Se utiliza el Índice de Pobreza Multidimensional - IPM creado por la Iniciativa de Investigación sobre la Pobreza y Desarrollo Humano de la Universidad de Oxford, en asociación con el Programa de las Naciones Unidas para el Desarrollo. Utilizamos los microdatos de la muestra del censo del Instituto Brasileño de Geografía y Estadística para 2010. Los resultados de la encuesta muestran que la proporción de pobres multidimensionales en el estado de Bahía corresponde al 25,46%. Los indicadores que necesitan más atención son: años de escolaridad, saneamiento y recolección de basura que presentaron porcentajes más altos de privación para los diversos territorios de Bahía. Con respecto a la intensidad, se encontró que su manifestación en Bahía es mayor que su incidencia, lo que resulta en 36.96% de la privación promedio compartida por individuos pobres multidimensionales. El IPM fue más crítico para los Territorios de Identidad de la Cuenca del Río Corrente (0.143) y Low Sul (0.141), para Bahía, este resultado fue 0.094. La mensurabilidad se vuelve importante para apoyar mejor las políticas públicas de asistencia social y la promoción del desarrollo territorial.Palabras clave: Pobreza; Entrenamiento; Índice Multidimensional.
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Cheng, Lizhi, and Yonghong Zeng. "Multidimensional polynomial transform algorithm for multidimensional DFT." Electronics Letters 36, no. 11 (2000): 990. http://dx.doi.org/10.1049/el:20000698.

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Rodrigues, Danuzia Lima, Ricardo Bruno Nascimento dos Santos, Izete Pengo Bagolin, and Danilo Araujo Fernandes. "Pobreza multidimensional intraurbana na região metropolitana de Belém." Redes 25 (December 18, 2020): 2251–73. http://dx.doi.org/10.17058/redes.v25i0.14166.

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O objetivo deste artigo é analisar as múltiplas dimensões da pobreza intraurbana na Região Metropolitana de Belém, por meio dos microdados do Censo de 2010. Para isso, são utilizados os arcabouços teóricos da Abordagem das Capacitações e da pobreza multidimensional e aplica-se a metodologia de Alkire e Santos (2010). Os resultados evidenciam existência de diferenças entre a pobreza monetária e a pobreza multidimensional e mostram que áreas consideradas menos pobres em termos multidimensionais não são as mesmas quando avaliadas em termos monetários. Percebe-se que as áreas de ponderação, em que praticamente coincidem os indicadores de renda e o multidimensional, não estão na mesma posição na classificação geral dos indicadores sintéticos de avaliação sobre pobreza. Adicionalmente, a composição de privações domiciliares difere entre as áreas de ponderação e a incidência da pobreza multidimensional ainda é elevada, mesmo após os avanços sociais vastamente relatados na literatura nos últimos 15 anos.
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Patel, Alpa R., and Dr Jayesh M. Patel. "Multidimensional model and OLAP operations." Indian Journal of Applied Research 3, no. 3 (October 1, 2011): 57–58. http://dx.doi.org/10.15373/2249555x/mar2013/20.

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Vanžurová, Alena. "Tensor approach to multidimensional webs." Mathematica Bohemica 123, no. 3 (1998): 225–42. http://dx.doi.org/10.21136/mb.1998.126070.

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Najitama, Esha, Ghozali Maski, and Asfi Manzilati. "Analysis of multidimensional poverty dynamics in Indonesia: The effect of demographic and institutional factors." Journal of Innovation in Business and Economics 4, no. 02 (December 31, 2020): 87–96. http://dx.doi.org/10.22219/jibe.v4i02.15630.

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Measuring poverty only from a monetary perspective is lacking. Given the variety of human needs, poverty needs to be measured multidimensionally. Hence, this study analyzes multidimensional poverty dynamics and identifies its determinants from the demographic and institutional factors. Using the Multidimensional Poverty Index (MPI) and data from the two survey periods of the Indonesia Family Life Survey (IFLS), it is known that multidimensional poverty tends to be transient rather than chronic. The highest education level of the head of the household, the level of dependency, the island of residence, the village political system, and the village government's corruption affect both chronic and transient poverty categories. The marital status of household heads, household size, and customary norms only affected the chronic poor category
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Dissertations / Theses on the topic "Multidimensional"

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Starr, I. M. "Multidimensional relativity." Thesis, University of Leeds, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235269.

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García, Díaz Rocío. "Multidimensional poverty." Thesis, University of York, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.437569.

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Colthurst, Thomas. "Multidimensional wavelets." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43934.

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Tybusch, Jerônimo Siqueira. "Sustentabilidade multidimensional." Florianópolis, 2011. http://repositorio.ufsc.br/handle/123456789/103349.

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Tese (doutorado) - Universidade Federal de Santa Catarina, Centro de Filosofia e Ciências Humanas. Programa de Pós-Graduação Interdisciplinar em Ciências Humanas
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A abordagem de observação dessa tese de doutoramento tem o enfoque nitidamente interdisciplinar, comunicando percepções diferenciadas de fenômenos econômicos, políticos, tecnológicos e jurídicos para compreensão da questão ambiental na atualidade. O objetivo principal concentra-se em compreender a Sustentabilidade Multidimensional como condição de possibilidade para uma proposta reflexiva na produção da Técnica Jurídico-Ambiental. Neste sentido, a abordagem que produz comunicações entre o direito e a economia, acoplando-os às temáticas da Ecologia, Sociedade Moderna e Política implicam, como característica peculiar da pesquisa em Ciências Humanas,uma direta relação com o sujeito e suas diversidades no que concerne à percepção da comunicação ecológica. A perspectiva amplia-se também para o estudo da produção discursiva referente à racionalidade econômica, ao modelo do Homo Oeconomicus, frente aos desafios ecológicos, bem como a produção da técnica e discursos da governamentalidade em relação ao meio ambiente. Assim, a presente proposta congrega o estudo das transformações ecológicas e sua percepção pela técnica jurídico-ambiental em sua direta relação com a composição das singularidades individuais e coletivas frente às modificações na política, técnica e percepções da cena ecológica (problemática ambiental). Nesta perspectiva, compreende-se que existe uma maior influência do saber e poder econômicos na questão ambiental. Ou seja, as práticas discursivas, no que tangem a questão ambiental, partem, na realidade das políticas públicas, de orientações desenvolvimentistas, resultando em ações que operam a partir de uma lógica de custo e benefício ou de um código valor/não-valor para, em um segundo momento, tentar adequá-las na perspectiva da sustentabilidade. Tal análise demonstra a histórica dificuldade metodológica na aplicabilidade do conceito de desenvolvimento sustentável para salvaguarda do meio ambiente, bem como na formulação de uma técnica jurídico-ambiental capaz de perceber e incorporar, na sua elaboração e aplicação, as diferentes dimensões da sustentabilidade. A metodologia e estratégia de ação para viabilizar essa tese orientaram-se pelo trinômio: Teoria de Base; Procedimento e Técnica. Os elementos trabalhados interpenetram-se em uma relação sistêmico-complexa para configuração de um método que permita uma abordagem de pesquisa interdisciplinar e em sinergia com as diferentes áreas do conhecimento: Ciências Exatas, Sociais Aplicadas e Ciências Humanas. O trabalho teve como referencial teórico a matriz epistemológica pragmático-sistêmica, que permite um enfoque complexo e interdisciplinar acerca do tema proposto. Como A Sustentabilidade Multidimensional obedece a três pilares para sua possibilidade de aplicação: 1) A compreensão da necessidade de Politizar as Novas Tecnologias; 2) A observação de uma Epistemologia Ambiental Complexa e 3) A percepção das perspectivas do Sócio-Ambientalismo e da Sóciobiodiversidade. A comunicação entre estes elementos conferem um caráter multidimensional ao conceito de Sustentabilidade, permitindo, ao sistema do direito, no caso de estar aberto a esta perspectiva, uma atitude reflexiva frente às suas técnicas tradicionais de decisão.
The approach of looking at the doctoral thesis is clearly interdisciplinary approach, communicating different perceptions of economic phenomena, political, technological and legal means to understanding the environmental issue today. The main objective focuses on understanding the Multidimensional Sustainability as a condition of possibility for a proposal reflecting the production of Technical and Environmental Law. In this sense, the approach that produces communications between law and economics, engaging them to the themes of ecology, Modern Society and Politics involve a peculiar characteristic of social science research, a direct relationship to the subject and their diversity with regard to perception of ecological communication. The prospect also extends to the study of discourse production on the economic rationality, the model of homo economicus, to the ecological challenges ahead, as well as production technique and discourses of governmentality in relation to the environment. Thus, this proposal brings together the study of ecological changes and their perception by the legal and technical environment in its direct relation to the composition of individual and collective singularities in the face of changes in policy, technical and ecological perceptions of the scene (environmental issues). In this perspective, it is understood that there is a greater influence of knowledge and economic power in environmental issues. In other words, the discursive practices in environmental issues that concern, they depart, the reality of public policy, developmental guidance, resulting in actions that operate from a logic of cost-benefit or value from a code / no-value for in a second time, trying to fit them all in the perspective of sustainability. This historical analysis demonstrates the methodological difficulty in the applicability of the concept of sustainable development to safeguard the environment and the formulation of an environmental legal and technical ability to perceive and incorporate in its design and implementation, the various dimensions of sustainability. The methodology and strategy for action to make this thesis were guided by the trinomial: Base Theory, Procedure and Technique. The elements worked interpenetrate in a complex relationship to systemic-setting up a method that allows an interdisciplinary research approach and in synergy with the different areas of knowledge: Exact Sciences, Applied Social and Human Sciences. The work has a theoretical to pragmatic-systemic epistemology, which allows a complex interdisciplinary focus on the theme proposed. How Sustainability has three pillars Multidimensional its possible application to: 1) Understanding the need to politicize the New Technologies, 2) the observation of a Complex Environmental Epistemology and 3) The perception of the prospects for socio-environmental and socio-biodiversity. Communication between these elements give a multidimensional nature to the concept of sustainability, allowing the system of law, should be open to this perspective, a reflective front of their traditional techniques of decision.
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Haglund, Leif. "Adaptive Multidimensional Filtering." Doctoral thesis, Linköpings universitet, Bildbehandling, 1991. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54339.

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This thesis contains a presentation and an analysis of adaptive filtering strategies for multidimensional data. The size, shape and orientation of the flter are signal controlled and thus adapted locally to each neighbourhood according to a predefined model. The filter is constructed as a linear weighting of fixed oriented bandpass filters having the same shape but different orientations. The adaptive filtering methods have been tested on both real data and synthesized test data in 2D, e.g. still images, 3D, e.g. image sequences or volumes, with good results. In 4D, e.g. volume sequences, the algorithm is given in its mathematical form. The weighting coefficients are given by the inner products of a tensor representing the local structure of the data and the tensors representing the orientation of the filters. The procedure and lter design in estimating the representation tensor are described. In 2D, the tensor contains information about the local energy, the optimal orientation and a certainty of the orientation. In 3D, the information in the tensor is the energy, the normal to the best ftting local plane and the tangent to the best fitting line, and certainties of these orientations. In the case of time sequences, a quantitative comparison of the proposed method and other (optical flow) algorithms is presented. The estimation of control information is made in different scales. There are two main reasons for this. A single filter has a particular limited pass band which may or may not be tuned to the different sized objects to describe. Second, size or scale is a descriptive feature in its own right. All of this requires the integration of measurements from different scales. The increasing interest in wavelet theory supports the idea that a multiresolution approach is necessary. Hence the resulting adaptive filter will adapt also in size and to different orientations in different scales.
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Schlachter, Simon Christopher. "Quantitative multidimensional microscopy." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609221.

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Vorland, Corey. "Multidimensional Toggle Dynamics." Diss., North Dakota State University, 2018. https://hdl.handle.net/10365/28766.

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J. Propp and T. Roby isolated a phenomenon in which a statistic on a set has the same average value over any orbit as its global average, naming it homomesy. One set they investigated was order ideals of partially ordered sets (posets). They proved that the cardinality statistic on order ideals of the product of two chains poset under rowmotion or promotion exhibits homomesy. We prove an analogous result in the case of the product of three chains where one chain has two elements. In order to prove this result, we generalize from two to n dimensions the recombination technique that D. Einstein and Propp developed to study homomesy. We see that our main homomesy result does not fully generalize to an arbitrary product of three chains, nor to larger products of chains; however, we have a partial generalization to an arbitrary product of three chains. Additional corollaries include refined homomesy results in the product of three chains and a new result on increasing tableaux. We also generalize recombination to any ranked poset and from this, obtain a homomesy result for a type B minuscule poset cross a two-element chain. We conclude by extending the definition of promotion to infinite posets, exploring homomesy, recombination, and a connection to monomial ideals.
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Boquet, Grant Michael. "Multidimensional Behavioral Complexes." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/31528.

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In a preprint by J. Wood, V. Lomadze, and E. Rogers, chains and boundary maps were defined for 2-D discrete behavioral systems. The corresponding homology groups were studied and tied to trajectory properties. Indeed, the homology groups encapsulated the concepts of autonomy, controllability, and signal restriction. We shall present an extension of their work to n-D discrete behavioral systems. In particular, we shall streamline the construction of the chain groups, the boundary maps between chains, and the study of the resultant homology groups. While constructing this machinery, we shall point out intrinsic flaws in their approach that make extension of their results less systematic. Finishing remarks shall be made on using the homology groups to determine system properties and potentially classify forms of controllability.
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Martins, Rafael Messias. "Explanatory visualization of multidimensional prejections." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-30092016-133421/.

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Visual analytics tools play an important role in the scenario of big data solutions, combining data analysis and interactive visualization techniques in effective ways to support the incremental exploration of large data collections from a wide range of domains. One particular challenge for visual analytics is the analysis of multidimensional datasets, which consist of many observations, each being described by a large number of dimensions, or attributes. Finding and understanding data-related patterns present in such spaces, such as trends, correlations, groups of related observations, and outliers, is hard. Dimensionality reduction methods, or projections, can be used to construct low (two or three) dimensional representations of high-dimensional datasets. The resulting representation can then be used as a proxy for the visual interpretation of the high-dimensional space to efficiently and effectively support the above-mentioned data analysis tasks. Projections have important advantages over other visualization techniques for multidimensional data, such as visual scalability, high degree of robustness to noise and low computational complexity. However, a major obstacle to the effective practical usage of projections relates to their difficult interpretation. Two main types of interpretation challenges for projections are studied in this thesis. First, while projection techniques aim to preserve the so-called structure of the original dataset in the final produced layout, and effectively achieve the proxy effect mentioned earlier, they may introduce a certain amount of errors that influence the interpretation of their results. However, it is hard to convey to users where such errors occur in the projection, how large they are, and which specific data-interpretation aspects they affect. Secondly, interpreting the visual patterns that appear in the projection space is far from trivial, beyond the projections ability to show groups of similar observations. In particular, it is hard to explain these patterns in terms of the meaning of the original data dimensions. In this thesis we focus on the design and development of novel visual explanatory techniques to address the two interpretation challenges of multidimensional projections outlined above. We propose several methods to quantify, classify, and visually represent several types of projection errors, and how their explicit depiction helps interpreting data patterns. Next we show how projections can be visually explained in terms of the highdimensional data attributes, both in a global and a local way. Our proposals are designed to be easily added, and used with, any projection technique, and in any application context using such techniques. Their added value is demonstrated by presenting several exploration scenarios involving various types of multidimensional datasets, ranging from measurements, scientific simulations, software quality metrics, software system structure, and networks.
Ferramentas de análise visual desempenham um papel importante no cenário de soluções para grandes volumes de dados (big data), combinando análise de dados e técnicas interativas de visualização de forma eficaz para apoiar a exploração incremental de coleções de dados em diversos domínios. Um desafio importante em análise visual é a exploração de conjuntos de dados multidimensionais, que consistem em muitas observações, sendo cada uma descrita por um grande número de dimensões, ou atributos. Encontrar e compreender os padrões presentes em tais espaços, tais como tendências, correlações, grupos de observações relacionadas e valores extremos, é difícil. Técnicas de redução de dimensionalidade ou projeções são utilizadas para construir, a partir de conjuntos de dados multidimensionais, representações de duas ou três dimensões que podem então ser utilizadas com substitutas do espaço original para sua interpretação visual, apoiando de forma eficiente as tarefas de análise de dados acima mencionadas. Projeções apresentam vantagens importantes sobre outras técnicas de visualização para dados multidimensionais, tais como escalabilidade visual, resistência a ruídos e baixa complexidade computacional. No entanto, um grande obstáculo para o uso prático de projeções vem da sua difícil interpretação. Dois principais tipos de desafios de interpretação de projeções são estudados nesta tese. Em primeiro lugar, mesmo que as técnicas de projeção tenham como objetivo preservar, na representação final, a estrutura do conjunto de dados original, elas podem introduzir uma certa quantidade de erros que influenciam a interpretação dos seus resultados. No entanto, é difícil transmitir aos usuários onde tais erros ocorrem na projeção, quão severos eles são e que aspectos específicos da interpretação dos dados eles afetam. Em segundo lugar, interpretar os padrões visuais que aparecem em uma projeção, além da percepção de grupos de observações semelhantes, está longe de ser trivial. Em particular, é difícil explicar tais padrões em termos do significado das dimensões dos dados originais. O trabalho desenvolvido nesta tese concentra-se no projeto e desenvolvimento de novas técnicas visuais explicativas para lidar com os dois desafios de interpretação de projeções multidimensionais descritos acima. São propostos alguns métodos para quantificar, classificar e representar visualmente diversos tipos de erros de projeção, e é descrito como essas representações explícitas ajudam na interpretação dos padrões dos dados. Além disso, também são propostas técnicas visuais para explicar projeções em termos dos atributos dos dados multidimensionais, tanto de forma global quanto local. As propostas apresentadas foram concebidas para serem facilmente incorporadas e usadas com qualquer técnica de projeção e em qualquer contexto de aplicação. As contribuições são demonstradas pela apresentação de vários cenários de exploração, envolvendo vários tipos de conjuntos de dados multidimensionais, desde medições e simulações científicas até métricas de qualidade de software, estruturas de sistema de software e redes.
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Zheglov, Alexander. "Multidimensional local skew-fields." Doctoral thesis, [S.l. : s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=965411923.

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Books on the topic "Multidimensional"

1

Davison, Mark L. Multidimensional scaling. Malabar, Fla: Krieger Pub. Co., 1992.

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1952-, Cheng Ping-chin, ed. Multidimensional microscopy. New York: Springer-Verlag, 1994.

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Multidimensional palaeobiology. Oxford: Pergamon Press, 1991.

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Cheng, P. C. Multidimensional Microscopy. New York, NY: Springer New York, 1994.

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A, Cox Michael A., ed. Multidimensional scaling. 2nd ed. Boca Raton: Chapman & Hall/CRC, 2001.

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van Vught, Frans A., and Frank Ziegele, eds. Multidimensional Ranking. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-3005-2.

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Cheng, P. C., T. H. Lin, W. L. Wu, and J. L. Wu, eds. Multidimensional Microscopy. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4613-8366-6.

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Hart, George W. Multidimensional Analysis. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-4208-6.

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W, Slann Martin, and Schechterman Bernard, eds. Multidimensional terrorism. Boulder: L. Rienner, 1987.

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Basov, Suren. Multidimensional screening. Berlin: Springer, 2005.

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Book chapters on the topic "Multidimensional"

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Gabriel, Thomas. "Multidimensional." In Begegnungen mit Bach, 114–15. Stuttgart: J.B. Metzler, 2002. http://dx.doi.org/10.1007/978-3-476-02867-9_34.

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Jamroz, Dariusz. "Multidimensional Labyrinth – Multidimensional Virtual Reality." In Man-Machine Interactions, 445–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00563-3_47.

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Hart, George W. "Introductory." In Multidimensional Analysis, 1–15. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-4208-6_1.

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Hart, George W. "Solutions to Odd-Numbered Exercises." In Multidimensional Analysis, 223–26. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-4208-6_10.

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Hart, George W. "The Mathematical Foundations of Science and Engineering." In Multidimensional Analysis, 17–55. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-4208-6_2.

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Hart, George W. "Dimensioned Linear Algebra." In Multidimensional Analysis, 57–84. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-4208-6_3.

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Hart, George W. "The Theory of Dimensioned Matrices." In Multidimensional Analysis, 85–118. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-4208-6_4.

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Hart, George W. "Norms, Adjoints, and Singular Value Decomposition." In Multidimensional Analysis, 119–44. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-4208-6_5.

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Hart, George W. "Aspects of the Theory of Systems." In Multidimensional Analysis, 145–70. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-4208-6_6.

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Hart, George W. "Multidimensional Computational Methods." In Multidimensional Analysis, 171–208. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-4208-6_7.

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Conference papers on the topic "Multidimensional"

1

Mackute-Varoneckiene, Ausra, Antanas Zilinskas, and Audrius Varoneckas. "Multidimensional scaling." In the International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1731740.1731805.

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Berg, Kimmo, and Harri Ehtamo. "Multidimensional screening." In the 10th international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1409540.1409596.

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Fousteris, Nikolaos, Yannis Stavrakas, and Manolis Gergatsoulis. "Multidimensional XPath." In the 10th International Conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1497308.1497341.

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Ivanova, Antoaneta, and Boris Rachev. "Multidimensional models." In the 5th international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1050330.1050444.

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Dabideen, S., and J. J. Garcia-Luna-Aceves. "Multidimensional Routing." In 17th International Conference on Computer Communications and Networks 2008. IEEE, 2008. http://dx.doi.org/10.1109/icccn.2008.ecp.113.

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Walter, Bruce, Adam Arbree, Kavita Bala, and Donald P. Greenberg. "Multidimensional lightcuts." In ACM SIGGRAPH 2006 Papers. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1179352.1141997.

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Ribeiro, Marcelo Gonçalves, and Julie de Araujo Pires. "Tipografia Multidimensional." In XVII Conference of the Iberoamerican Society of Digital Graphics - SIGraDi: Knowledge-based Design. São Paulo: Editora Edgard Blücher, 2013. http://dx.doi.org/10.5151/despro-sigradi2013-0126.

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Yaakobi, Eitan, Alexander Vardy, Paul H. Siegel, and Jack K. Wolf. "Multidimensional flash codes." In 2008 46th Annual Allerton Conference on Communication, Control, and Computing. IEEE, 2008. http://dx.doi.org/10.1109/allerton.2008.4797584.

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Amundsen, L., and E. Holvik. "Multidimensional Betti Deconvolution." In 64th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2002. http://dx.doi.org/10.3997/2214-4609-pdb.5.f026.

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Banterle, Francesco, Alessandro Artusi, Tunç O. Aydin, Piotr Didyk, Elmar Eisemann, Diego Gutierrez, Rafal Mantiuk, and Karol Myszkowski. "Multidimensional image retargeting." In SIGGRAPH Asia 2011 Courses. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2077434.2077447.

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Reports on the topic "Multidimensional"

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Almansa Martínez, Ana, and Isabel Ruiz Mora. Presentación: Relaciones Públicas Multidimensionales / Presentation: Multidimensional Public Relations. Revista Internacional de Relaciones Públicas, May 2014. http://dx.doi.org/10.5783/rirp-7-2014-01-03-04.

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Basu, Sankar. Multidimensional Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada200954.

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Cannon, John R. MultiDimensional Combustion Simulation. Fort Belvoir, VA: Defense Technical Information Center, January 1987. http://dx.doi.org/10.21236/ada177548.

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Basu, Sankar. Multidimensional Filtering Investigations. Fort Belvoir, VA: Defense Technical Information Center, February 1987. http://dx.doi.org/10.21236/ada178745.

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Guvenen, Fatih, Burhanettin Kuruscu, Satoshi Tanaka, and David Wiczer. Multidimensional Skill Mismatch. Cambridge, MA: National Bureau of Economic Research, July 2015. http://dx.doi.org/10.3386/w21376.

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Hendrickson, B., and R. Leland. Multidimensional spectral load balancing. Office of Scientific and Technical Information (OSTI), January 1993. http://dx.doi.org/10.2172/6691328.

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Willmert, Justin B. Accelerating multidimensional nuclear algorithms. Office of Scientific and Technical Information (OSTI), August 2013. http://dx.doi.org/10.2172/1089883.

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Apablaza, Mauricio, and Gaston Yalonetzky. Decomposing Multidimensional Poverty Dynamics. Young Lives, October 2013. http://dx.doi.org/10.35648/20.500.12413/11781/ii015.

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Boss, N. K. Shift-Variant Multidimensional Systems. Fort Belvoir, VA: Defense Technical Information Center, May 1985. http://dx.doi.org/10.21236/ada158973.

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Rotem, Doron, Ekow J. Otoo, and Sridhar Seshadri. Chunking of Large Multidimensional Arrays. Office of Scientific and Technical Information (OSTI), February 2007. http://dx.doi.org/10.2172/927033.

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