O presente trabalho tem os seguintes objetivos: propor uma sistemática para o estudo e a interpretação da estabilidade e adaptabilidade fenotípica, através de duas técnicas de análise multiway (PARAFAC e Tucker3); propor a construção de um gráfico, denominado de Triplot, que possibilita avaliar as relç]oesoes entre os 3 modos (genótipos, locais e anos); implementar uma rotina computacional para a análise de dados, segundo os modelos multiway; implementar uma rotina computacional para a construção do Triplot. Os dados a serem uti- lizados são relativos a experimentos com 13 genótipos de feijão que foram conduzidos em 9 ex- perimentos distintos constituídos pelos anos agrícolas de 2000/2001, 2001/2002 e 2005/2006, pelos municípios de Dourados e Aquidauana, sendo que os experimentos foram instalados na época das águas (Dourados)e também na época da seca (Dourados e Aquidauana). Cada local é constituído de município e uma época de instalação. Os resultados indicaram que o gráfico triplot e joint plot, facilitam o entendimento da interação tripla e traz ao pesquisador informações mais reais sobre a interação tripla, do que a modelagem AMMI de duas entradas; o gráfico triplot, ajuda a identificar genótipos, locais e anos estáveis, dentro de um grande grupo de genótipos, locais e anos; de uma maneira geral recomenda-se, utilizar o triplot e o joint plot juntos, para obter melhores interpretações dos resultados; dentre os genótipos estudados, o genótipo 6 é o que menos contribui para a interação e o os genótipos 12, 9 e 5 são os que mais contribuem para a interação. / The present work has the following objectives: to propose a systematics for the study and the interpretation of the phenotypic stability and adaptability, through several multiway models (PARAFAC and Tucker3); to propose a graphic, called of Triplot, that it makes possible to evaluate the relations between the 3 ways (genotypes, locations and years); to implement a computational routine for the data analysis, according multiway models; to implement a computational routine for the construction of Triplot. The used data are relative the experiments with 13 genotypes of beans that had been lead in 9 experimental distinct ones constituted by agricultural years of 2000/2001, 2001/2002 and 2005/2006, by Dourados and Aquidauana cities, where the experiments had been installed at the time of waters (Dourados) and also at the time of dries (Dourados and Aquidauana). Each location is constituted of city and time of installation. The results indicated that the graphic triplot and joint plot, facilitate the agreement of triple interaction and bring to the researcher more real information about triple interaction, of what AMMI model of two way; the graphic triplot, helps to identify stabels genotypes, locations and years, inside of a great group of genotypes, location and years; in a general recommend to use triplot and joint plot together, to get better interpretations of the results; the genotype 6 is what less contributes for the triple interaction and genotypes 12, 9 and 5 are the that more contribute for the interaction.

Em ensaios clínicos é muito comum a ocorrência de dados longitudinais discretos. Para sua análise é necessário levar em consideração que dados observados na mesma unidade experimental ao longo do tempo possam ser correlacionados. Além dessa correlação inerente aos dados é comum ocorrer o fenômeno de superdispersão (ou sobredispersão), em que, existe uma variabilidade nos dados além daquela captada pelo modelo. Um caso que pode acarretar a superdispersão é o excesso de zeros, podendo também a superdispersão ocorrer em valores não nulos, ou ainda, em ambos os casos. Molenberghs, Verbeke e Demétrio (2007) propuseram uma classe de modelos para acomodar simultaneamente a superdispersão e a correlação em dados de contagens: modelo Poisson, modelo Poisson-gama, modelo Poisson-normal e modelo Poisson-normal-gama (ou modelo combinado). Rizzato (2011) apresentou a abordagem bayesiana para o ajuste desses modelos por meio do Método de Monte Carlo com Cadeias de Markov (MCMC). Este trabalho, para modelar a incerteza relativa aos parâmetros desses modelos, considerou a abordagem bayesiana por meio de um método determinístico para a solução de integrais, INLA (do inglês, Integrated Nested Laplace Approximations). Além dessa classe de modelos, como objetivo, foram propostos outros quatros modelos que também consideram a correlação entre medidas longitudinais e a ocorrência de superdispersão, além da ocorrência de zeros estruturais e não estruturais (amostrais): modelo Poisson inacionado de zeros (ZIP), modelo binomial negativo inacionado de zeros (ZINB), modelo Poisson inacionado de zeros - normal (ZIP-normal) e modelo binomial negativo inacionado de zeros - normal (ZINB-normal). Para ilustrar a metodologia desenvolvida, um conjunto de dados reais referentes à contagens de ataques epilépticos sofridos por pacientes portadores de epilepsia submetidos a dois tratamentos (um placebo e uma nova droga) ao longo de 27 semanas foi considerado. A seleção de modelos foi realizada utilizando-se medidas preditivas baseadas em validação cruzada. Sob essas medidas, o modelo selecionado foi o modelo ZIP-normal, sob o modelo corrente na literatura, modelo combinado. As rotinas computacionais foram implementadas no programa R e são parte deste trabalho. / Discrete and longitudinal structures naturally arise in clinical trial data. Such data are usually correlated, particularly when the observations are made within the same experimental unit over time and, thus, statistical analyses must take this situation into account. Besides this typical correlation, overdispersion is another common phenomenon in discrete data, defined as a greater observed variability than that nominated by the statistical model. The causes of overdispersion are usually related to an excess of observed zeros (zero-ination), or an excess of observed positive specific values or even both. Molenberghs, Verbeke e Demétrio (2007) have developed a class of models that encompasses both overdispersion and correlation in count data: Poisson, Poisson-gama, Poisson-normal, Poissonnormal- gama (combined model) models. A Bayesian approach was presented by Rizzato (2011) to fit these models using the Markov Chain Monte Carlo method (MCMC). In this work, a Bayesian framework was adopted as well and, in order to consider the uncertainty related to the model parameters, the Integrated Nested Laplace Approximations (INLA) method was used. Along with the models considered in Rizzato (2011), another four new models were proposed including longitudinal correlation, overdispersion and zero-ination by structural and random zeros, namely: zero-inated Poisson (ZIP), zero-inated negative binomial (ZINB), zero-inated Poisson-normal (ZIP-normal) and the zero-inated negative binomial-normal (ZINB-normal) models. In order to illustrate the developed methodology, the models were fit to a real dataset, in which the response variable was taken to be the number of epileptic events per week in each individual. These individuals were split into two groups, one taking placebo and the other taking an experimental drug, and they observed up to 27 weeks. The model selection criteria were given by different predictive measures based on cross validation. In this setting, the ZIP-normal model was selected instead the usual model in the literature (combined model). The computational routines were implemented in R language and constitute a part of this work.

This work develops a marginal screening test to detect the presence of significant predictors for a right-censored time-to-event outcome under a high-dimensional accelerated failure time (AFT) model. Establishing a rigorous screening test in this setting is challenging, not only because of the right censoring, but also due to the post-selection inference. The oracle property in such situations fails to ensure adequate control of the family-wise error rate, and this raises questions about the applicability of standard inferential methods. McKeague and Qian (2015) constructed an adaptive resampling test to circumvent this problem under ordinary linear regression. To accommodate right censoring, we develop a test statistic based on a maximally selected Koul--Susarla--Van Ryzin estimator from a marginal AFT model. A regularized bootstrap method is used to calibrate the test. Our test is more powerful and less conservative than the Bonferroni correction and other competing methods. This proposed method is evaluated in simulation studies and applied to two real data sets.

Actuellement, il existe peu de nouvelles technologies "Label free" afin de faciliter et d’améliorer le diagnostic précoce. Ces technologies pourraient être des outils puissants pour mieux diagnostiquer les patients. De nombreuses études ont montré le potentiel de la spectroscopie Raman pour aider les cliniciens. Le travail réalisé au cours de cette thèse avait pour but de mettre au point un outil autonome pour le diagnostic de la LLC, grâce à des données Raman acquises dans différentes conditions expérimentales et instrumentales lors de campagnes de mesures multicentriques. Cependant, ces changements influent beaucoup sur les données Raman, ce qui pose des problèmes de transférabilité. L’apparition de cette technologie au chevet du patient est donc entravée, il est nécessaire de corriger ce manque de transférabilité. Dans ce mémoire, différents axes de recherche ont été menés. Il a été proposé, dans un premier temps, d'évaluer une solution consistant en l'application d'un prétraitement spécifiquement développé afin d’éliminer la variabilité spectrale induite par les différents changements de conditions. Le prétraitement basé sur l’EMSC a montré de fortes performances pour homogénéiser ces données multicentriques. Le second axe de recherche a été d’évaluer différentes stratégies, afin de créer et d’optimiser des modèles pour le diagnostic de la LLC. 100 modèles de classification ont donc été créé grâce à la double validation croisée répétée. La combinaison des prédictions de ces modèles a permis, grâce à un vote majoritaire, de prédire avec une grande précision si un patient était sain ou atteint de la LLC. / Currently, there are few new "Label free" technologies to facilitate and improve early diagnosis. These technologies could be powerful tools to better diagnose patients. Many studies have shown the potential of Raman spectroscopy to help clinicians. The work carried out during this thesis aimed to develop an autonomous tool for the diagnosis of CLL, using Raman data acquired under different experimental and instrumental conditions during multicentric measurement campaigns. However, these changes have a significant impact on Raman data, which poses transferability issues. The appearance of this technology at the bedside is therefore hindered, it is necessary to correct this lack of transferability. In this thesis, various lines of research were conducted. As a first step, it was proposed to evaluate a solution consisting in the application of a specifically developed pre-treatment to eliminate the spectral variability induced by the different changes in conditions. Pre-treatment based on EMSC has shown strong performance in homogenizing this multicentric data. The second research axis was to evaluate different strategies, in order to create and optimize models for the diagnosis of CLL. 100 classification models were therefore created through repeated double crossvalidation. The combination of the predictions of these models allowed, through a majority vote, to predict with great accuracy whether a patient was healthy or sick.

This study explores the ways in which two educated Yemeni women understand and engage with storylines in their society which position them as 'sisters of men' obliged to conform to expectations of 'good' wives, mothers, daughters and Muslims. My own long immersion in Yemeni society, and de se experience of being discursively, interactively and structurally positioned as a woman and a wife in that context created a compelling desire to explore the ascribed social identities, roles and relationships of women in Yemen. In keeping with the feminist underpinnings of this study, I used a holistic method of investigation, the life history interview, and a voice relational mode of analysis that facilitated engagement with the women and their multiple subjectivities and positionings. Findings suggest that far from understanding themselves as de facto victims of their men and their religion, these strong and outspoken characters actively and willingly embrace those storylines derived from Islam but live them in sometimes unexpected ways. I also collaborated with my storytellers in the construction of personal narratives to enable readers to understand a little more about the world that these women inhabit, and help transform "information into shared experience" (Denzin 2009: 216). This study makes conceptual, methodological, practical and political contributions and suggests areas for further research.

This dissertation describes the work conducted on error analysis for Brillouin Optical Time Domain Reflectometry (BOTDR), a distributed strain sensing technology used for monitoring the structural performance of infrastructures. Although BOTDR has been recently applied to many infrastructure monitoring applications, its measurement error has not yet been thoroughly investigated. The challenge to accurately monitor structures using BOTDR sensors lies in the fact that the measurement error is dependent on the noise and the spatial resolution of the sensor as well as the non-uniformity of the monitored infrastructure strain conditions. To improve the reliability of this technology, measurement errors (including precision error and systematic error) need to be carefully investigated through fundamental analysis, lab testing, numerical modelling, and real site monitoring verification. The relationship between measurement error and sensor characteristics is firstly studied experimentally and theoretically. In the lab, different types of sensing cables are compared with regard to their measurement errors. Influences of factors including fibre diameters, polarization and cable jacket on measurement error are characterized. Based on experimental characterization results, an optics model is constructed to simulate the Brillouin back scattering process. The basic principle behind this model is the convolution between the injected pulse and the intrinsic Brillouin spectrum. Using this model, parametric studies are conducted to theoretically investigate the impacts of noise, frequency step and spectrum bandwidth on final strain measurement error. The measurement precision and systematic error are then investigated numerically and experimentally. Measurement results of field sites with installed optical fibres displayed that a more complicated strain profile leads to a larger measurement error. Through extensive experimental and numerical verifications using a Brillouin Optical Time Domain Reflectometry (BOTDR), the dependence of precision error and systematic error on input strain were then characterized in the laboratory and the results indicated that a) the measurement precision error can be predicted using analyzer frequency resolution and the location determination error and b) the characteristics of the measurement systematic error can be described using the error to strain gradient curve. This is significant because for current data interpretation process, data quality is supposed to be constant along the fibre although the monitored strain for most of the site cases is non-uniformly distributed, which is verified in this thesis leading to a varying data quality. A novel data quality quantification method is therefore proposed as a function of the measured strain shape. Although BOTDR has been extensively applied in infrastructure monitoring in the past decade, their data interpretation has been proven to be nontrivial, due to the nature of field monitoring. Based on the measurement precision and systematic error characterization results, a novel data interpretation methodology is constructed using the regularization decomposing method, taking advantages of the measured data quality. Experimental results indicate that this algorithm can be applied to various strain shapes and levels, and the accuracy of the reconstructed strain can be greatly improved. The developed algorithm is finally applied to real site applications where BOTDR sensing cables were implemented in two load bearing piles to monitor the construction loading and ground heaving processes.

Infecções hospitalares, causadas por fungos e bactérias, são responsáveis por milhares de mortes anuais e disseminam-se cada vez mais rápido em ambiente hospitalar. Estas infecções afetam principalmente pacientes que são submetidos a procedimentos invasivos ou que apresentam baixa imunidade. Este quadro tende a agravar-se devido ao surgimento de micro-organismos resistentes aos tratamentos atualmente disponíveis, decorrentes, principalmente, de excessivas prescrições, automedicação, pela utilização errônea de antibióticos bem como pela aplicação de métodos de profilaxia inadequados determinando, desta forma, a necessidade de pesquisar e de identificar novos medicamentos para esta finalidade. Neste contexto, ressalta-se que os nitrocompostos que vêm demonstrando bons resultados como agentes antimicrobianos e, sendo assim, este trabalho se propõe a planejar, sintetizar e avaliar duas séries de compostos análogos à nifuroxazida frente a bactérias Gram-positivas, Gram-negativas e fungos de importância em infecções hospitalares com caráter de multirresistência. O planejamento de modificações moleculares na estrutura da série de análogos à nifuroxazida foi auxiliado pelo diagrama de Craig, que se aplica à seleção dos grupos substituintes. A identificação dos compostos obtidos foi realizada por análise espectrofotométrica RMN 1H e RMN 13C e, como critério de pureza, foi realizado análise elementar de CHN. A melhor atividade dos análogos foi frente à S. aureus, onde 16 dos 23 compostos planejados apresentaram atividade superior aos fármacos de referência, estas quais, e composto protótipo. Vale salientar também que os compostos mais ativos foram os análogos 4-butil-N\'-[(5-nitrofuran-2-il) metileno] benzidrazida e 3-acetil-2-[5-nitro-furan-2-il]-5-[4-ciano-fenil]-2,3-diidro-1,3,4-oxadiazolínico com IC90 = 1,8 ± 0,04 µM e 3,89 ± 0,07 µM, respectivamente. Nos estudos de relações estrutura-atividade, a propriedade eletrônica se mostrou com importância fundamental para a atividade dos compostos frente aos micro-organismos considerados. Os resultados encontrados são bastantes promissores e sinalizam para a possibilidade de identificação de um novo candidato para fármaco antimicrobiano frente à infecções hospitalares com caráter de multirresistência. / Nosocomial infections are caused by bacteria and fungi and are the main reason for thousands of deaths every year in the hospital environment. The most susceptible individuals to these type of infection are the immunocompromised, highlighting old-aged and immunodeficiency people, as also patients who passed by invasive procedures. Not only do this situation is very serious, but also a huge number of multidrug-resistant microorganisms are reported worldwide, basically due to excess of prescription and wrong use of antibiotics. If this situation doesn\'t be maintained today, there will not be a bright sight in the future. In this context, there is the necessity for research and development of new antimicrobial agents, and the nitrocompounds, highlighting nifuroxazide\'s analogs, are showing excellent activity against several pathogens related to multidrug resistant nosocomial infections. Therefore, this work aims to design, to synthesize and to evaluate two series of nifuroxazide\'s analogs against strains of gram-positive and gram-negative bacteria, also fungi strains. The sets of analogs were designed based on the replacement of hydroxyl group of nifuroxazide by different substituent groups according to Craig\'s diagram, also a modification in the structure core; identification of these compounds was carried out through 1H and 13C NMR. Melting point and elementary analysis were analyzed for purity criteria. Until the moment, about 23 compounds were evaluated and the best observed activity was against S. aureus strains, which 16 analogs showed better activity than the lead compound and several other compounds, used as referential drug. It is noteworthy that the best activity were analogs 4-butyl-N\'-((5-nitrofuran-2-yl) methylene) benzohydrazide and 3-acetyl-2-[5-nitro-furan-2-yl]-5-[4-cyano-phenil]-2,3-dihydro-1,3,4 oxadiazole with IC90 = 1,8 ± 0,04 µM and 3,89 ± 0,07 µM, respectively. The chemometrics studies suggest that electronic properties are most related to the biological activity on these microorganisms. All the available results shows the potential of nitrofurans to be a new candidate for an antimicrobial drug against multidrug resistant nosocomial infections.

Atualmente, os usuários expressam seus desejos e preferências em relação a um objeto, conteúdo ou evento por meio das redes sociais; portanto, analisar os sentimentos de uma pessoa no mundo digital sobre o que a rodeia tem sido cada vez mais frequente com o intuito de conhecer as preferências desta pessoa. O estudo propõe um novo mecanismo e cálculo de sentimentos e afetividade, aperfeiçoando a análise de sentimentos. Um mecanismo de cálculo de sentimentos associado a um fator de correção correspondente a n-gramas, tempos verbais, expressões e às características pessoas, tais como idade, gênero e escolaridade é desenvolvido neste trabalho. Os sentimentos negativos, neutros e positivos são extraídos de frases das redes sociais. As frases são classificadas em intensidade de sentimentos e em polaridade positiva, negativa ou neutra, por meio de um novo dicionário de palavras em português e de um novo cálculo de sentimentos. O cálculo de sentimentos possui regras específicas para tempos verbais (presente e passado) e advérbios. Os sentimentos das palavras são extraídos por meio de adjetivos, substantivos, palavras únicas (unigramas) e palavras que associadas (bigramas e trigramas) possuem um significado diferente de palavras únicas. Para validação do desempenho do dicionário e do novo mecanismo de cálculo de sentimentos, os resultados sao comparados com uma ferramenta de análise de sentimentos j´a existente, a SentiStrength e são validados por meio de testes subjetivos, com avaliadores remotos, com uma técnica denominada de crowdsourcing e por aprendizagem de máquina. O estudo também analisa a afetividade das frases e propõe uma métrica denominada de Brazillian Affective Metric (AFMBr), extraindo emoções de raiva, alegria, tristeza, surpresa e nojo. A solução de análise de sentimentos e afetividade é aplicada em um sistema de recomendação de músicas, como estudo de caso, o qual sugere conteúdos conforme o estado sentimental da pessoa. / Currently, users express their wishes and preferences in relation to an object, content or event through social networks; therefore analyze the sentiments of a person in the digital world about what surrounds the person has been increasingly used in order to know the preferences of this person. The study proposes new metrics of sentiments and affection, improving the sentiment analysis. The sentiment analysis metric associated with a corresponding correction factor for n-grams, tenses, expressions and personal characteristics such as age, gender and education is developed in this work. Negative, neutral and positive sentiments are extracted from social networks phrases. The sentences are ranked in positive, neutral or negative sentiment intensity or polarity by a new dictionary of words in Portuguese language and is extracted the sentiments. The calculation of sentiments has specific rules for verb tenses (present and past) and adverbs. The sentiments are extracted by means of adjectives, nouns, unigrams and associated words (bigrams and trigrams) that have a different meaning of single words. To validate the dictionary performance and new sentiments calculation mechanisms, the results are compared with an analysis tool of sentiments named of SentiStrength and are validated by subjective tests, with remote evaluators, with a technique named of crowdsourcing and machine learning. The study also analyzes the affection of sentences and proposes a metric called Brazillian Affective Metric (AFM-Br), that extracts emotions of anger, joy, sadness, surprise and disgust. The sentiment analysis solution and affection is applied in a music recommendation system, as a case study, which suggests content according to the emotional state of the person.

Submitted by admin tede (tede@pucgoias.edu.br) on 2018-04-18T12:08:35Z No. of bitstreams: 1 ISIS JULIANE ARANTES GRANJA.pdf: 1309143 bytes, checksum: 3c564f96f6c30173df19ea1c01f8fe4b (MD5) / Made available in DSpace on 2018-04-18T12:08:35Z (GMT). No. of bitstreams: 1 ISIS JULIANE ARANTES GRANJA.pdf: 1309143 bytes, checksum: 3c564f96f6c30173df19ea1c01f8fe4b (MD5) Previous issue date: 2018-03-12 / This research aimed to analyze the application of exploratory statistical methods, in particular the PCA and HCA methods, in the analysis of data related to the production management in a chemical industry of household sanitation. The chemical industries of cleaning products, also known as sanitizing industries, shows a great market growth and consequently competitiveness, thus forcing the improvement in their productive performance. The software used in this analysis was the digital (commercial and managing system) and the "STATÍSTICA", version 7.0 (system of statistical calculations). The data are related is the 3A Química e Farmacêutica Ltda, located in the city of Caturaí, state of Goiás. Twelve months of the year 2016. The following variables were established: quantities produced and effectively sold of sanitizers in plastic gallons of 20 liters, 25 liters, 50 liters, 200 liters, 240 liters, gallons of can Iron) of 200 liters, boxes with 04 gallons of 05 liters; numbers of employees involved; cost with electric energy and global gross billing. The results obtained were analyzed through graphs and statistical tables, which represent three large groups of samples and effectively pointed to July as the most productive month of the year. It has also been shown that the rainy months are effectively the months of lower performance, which indicates a new strategy to be developed for improving this period and also considering that the production of boxes with 02 gallons of 5 liters and plastic gallons with 25 liters should be implemented to make the results even better. In this way, a methodology for the implementation of new packaging was consolidated in obtaining the improvement of productivity and performance in an industry of sanitation sector in the State of Goiás. / Esta pesquisa visou analisar a aplicação de métodos estatísticos exploratórios, em especial os métodos PCA e HCA, na análise de dados relativos à gestão de produção numa indústria química de saneantes domissanitários. As indústrias químicas de produtos de limpeza, também conhecidas como indústrias de saneantes, encontram-se em um grande crescimento de mercado e, consequentemente, competitividade, obrigando, assim, a melhoria em seu desempenho produtivo. A empresa analisada foi 3A Química e Farmacêutica Ltda, localizada no município de Caturaí, estado de Goiás. Os softwares utilizados nessa análise foram o da digital (sistema comercial e gerencial), pacote "R" e o “STATÍSTICA”, versão 7.0 (sistema de cálculos estatísticos). Os dados coletados referem-se ao período de doze meses do ano de 2016. Como variáveis estabeleceram-se as seguintes: quantidades produzidas e efetivamente vendidas de saneantes em galões plásticos de 20 litros, 25 litros, 50 litros, 200 litros, 240 litros, galões de lata (ferro) de 200 litros, caixas com 04 galões de 05 litros; números de funcionários envolvidos; custo com energia elétrica e faturamento bruto global. Os resultados obtidos foram analisados por meio de gráficos e tabelas estatísticas, resultados que configuram três grandes grupos de amostras e efetivamente apontaram para o mês de julho como sendo o mês mais produtivo do ano. Também se mostrou que os meses chuvosos são, efetivamente, os meses de menor desempenho, o que indica necessidade de elaborar uma nova estratégia para que esse quadro se modifique, sabendo, inclusive, que a produção de caixas com 02 galões de 5 litros e galões plásticos com 25 litros deverão ser implementadas para que os resultados sejam ainda melhores. Dessa forma se consolidou uma metodologia de implantação de novas embalagens na obtenção da melhoria da lucratividade e desempenho em uma indústria do setor de saneantes do Estado de Goiás.

Smart-phones, wearables and mobile devices in general are the sensors of our modern world. Their sensing capabilities offer the means to analyze and interpret our behaviour and surroundings. When it comes to human behaviour, perhaps the most informative feature is our location and mobility habits. Insights from human mobility are useful in a number of everyday practical applications, such as the improvement of transportation and road network infrastructure, ride-sharing services, activity recognition, mobile data pre-fetching, analysis of the social behaviour of humans, etc. In this dissertation, we develop algorithms for processing mobility data. The analysis of mobility data is a non trivial task as it involves managing large quantities of location information, usually spread out spatially and temporally across many tracking sensors. An additional challenge in processing mobility information is to publish the data and the results of its analysis without jeopardizing the privacy of the involved individuals or the quality of the data. We look into a series of problems on processing mobility data from individuals and from a population. Our mission is to design algorithms with provable properties that allow for the fast and reliable extraction of insights. We present efficient solutions - in terms of storage and computation requirements - , with a focus on distributed computation, online processing and privacy preservation.