Faute de travaux scientifiques, Constantine, capitale de l’Est algérien, a quelque peu disparu de la bibliographie archéologique ces dernières décennies. Il est vrai que l’étude archéologique en milieu urbain n’est pas aisée. Pour palier cette absence, cet exposé propose un état des lieux des travaux antérieurs sur le sujet, afin de mettre en place l’ébauche d’une recherche sur la topographie urbaine de la ville, dans l’Antiquité. Le point de départ de ce travail correspond à une prise de conscience de l’éparpillement des sources et de la difficulté à les consulter. Ainsi, regrouper les sources anciennes et récentes était nécessaire pour créer un répertoire de notices de découvertes, agrémentées ou non de planches. Ces notices forment chacune un site à reporter, dans la mesure du possible, sur une carte, elle-même divisée en plusieurs parties, correspondant à diverses sections, mises en place pour faciliter l’organisation de cette étude. Ce catalogue, première évaluation du potentiel archéologique de Constantine, permet finalement former quelques hypothèses qui pourront servir d’appuis aux travaux archéologiques à venir. / For lack of scientific works, Constantine, capital of eastern Algeria, has somewhat disappeared from the archeological bibliography these last decades. It is right to say that the archeological study in urban areas isn’t that easy. To overcome this lack of research, this presentation offers an inventory of fixtures of the previous works on the subject, in order to produce the outline of a research on the urban topography of the city, in Antiquity. The starting point of this work represents an awareness of the dispersal of the sources and the difficulty to consult them. Thus, gathering the old and the recent sources was necessary to create a notebook of discovery notes, accompanied or not by «boards». These notes each form a site to copy out, when possible on a map, that is divided in several parts, corresponding to different sections, made up to facilitate the organisation of this study. This catalog, first estimation of the archological potential of Constantine eventually allows us to establish a few hypothesis that will be used as a support for further archelogical research.

In this work we propose a solution that would help automate the part of knowledge discovery in databases. Domain knowledge has an important role in the automation process which is necessary to include into the proposed program for data preparation. In the introduction to this work, we focus on the theoretical basis of knowledge discovery of databases with an emphasis on domain knowledge. Next, we focus on the basic principles of data pre-processing and scripting language LMCL that could be part of the design of the newly established applications for automated data preparation. Subsequently, we will deal with application design for data pre-processing, which will be verified on the data the House of Commons.

This dissertation investigates the ways visitors to Haida Gwaii (sometimes called the Queen Charlotte Islands) have written about the islands. I argue that accounts by visitors to Haida Gwaii fashion the object that they seek to represent. In short, visitors' stories do not unproblematically reflect the islands but determine how Haida Gwaii is perceived. These perceptions in turn affect the actions of visitors, residents and governments. I contribute to that representational process, striving to show the material consequences of language and the ways discourses shape Haida Gwaii. The dissertation consists of three sections. "Early visitors" focuses on the last quarter of the eighteenth century, studying the earliest documented visits by Euro-American mariners and fur traders. "Modern visitors" concentrates on the last quarter of the nineteenth century and the beginning of the twentieth century, when some visitors were busy imposing colonial forms of government and social organization, while others were resisting these projects. "Recent visitors" concentrates on the final quarter of the twentieth century, examining the campaign to save a portion of the archipelago from clearcutting and efforts to develop alternatives to resource-extractive economic practices. By examining three case studies for each period, I argue that the ways visitors imagine the islands have been transformed in each of these periods. / Arts, Faculty of / English, Department of / Graduate

This dissertation examines the workings of various colonial discourses in the texts of Captain James Cook’s third Pacific voyage. Specifically, it focusses on the month spent at Nootka Sound (on the west coast of Vancouver Island) in 1778. The textual discrepancies between the official 1784 edition by Bishop Douglas, A Voyage to the Pacific Ocean, and J.C. Beaglehole’ s scholarly edition of 1967, The Voyage of the Resolution and Discovery 1776-1780, reveal that Cook’s Voyages present not an archive of European scientific and historical knowledge about the new world but the deployment of colonial discourses. Examining this relatively specific moment as discourse expands a critical sense of the importance of Cook’s Voyages as cultural documents, for the twentieth century as well as for the eighteenth. Chapters One and Two consider the mutually interdependent discourses of aesthetics and science: based upon assumptions of “objectivity,’ they distance the observing subject from the object observed, in time as well as in space. Chapter Three traces the development of the trope of cannibalism and argues that this trope works in the editions of Cook’s third voyage to further distance the Nootka from Europeans by textually establishing what looked like savagery. Chapter Four examines the historical construction of Cook as imperial culture hero, for eighteenth-century England, Western Europe, and the settler cultures that followed in his wake. Taken separately and together, these colonial discourses are employed in the accounts of Cook’s month at Nootka Sound to justify and rationalise England’s claim to appropriation of the territory. The purpose of these colonial discourses is to fix meaning and to present themselves as natural; the purpose of my dissertation is to disrupt such constructions. I therefore disrupt my own discourse with a series of digressions, signalled by a different typeface. They allow me to pursue lines of thought related tangentially to the main arguments and thus to investigate the wider concerns of the culture that produced Cook’s voyages, They also give me the opportunity to interrogate my own critical methodology and assumptions. Ultimately I aim not to create another, more convincing construction of Cook and his month at Nootka Sound, but to illuminate a cultural process, a way of making meaning that is part of his intellectual legacy. / Arts, Faculty of / English, Department of / Graduate

Throughout last decades, knowledge discovery from databases as one of the information and communicaiton technologies' disciplines has developed into its current state being showed increasing interest not only by major business corporates. Presented diploma thesis deals with problematique of data mining while paying prime attention to its practical utilization within business environment. Thesis objective is to review possibilities of data mining applications and to decompose implementation techniques focusing on specific data mining methods and algorithms as well as adaptation of business processes. This objective is subject of theoretical part of thesis focusing on principles of data mining, knowledge discovery from databases process, data mining commonly used methods and algorithms and finally tasks typically implemented in this domain. Further objective consists in presenting data mining benefits on the model example that is being displayed in the practical part of the thesis. Besides created data mining models evalution, practical part contains also design of subsequent steps that would enable higher efficiency in some specific areas of given business. I believe previous point together with characterization of knowledge discovery in databases process to be considered as the most beneficial one's of the thesis.

I proposed that both Bruner's (1963) idea of the spiral curriculum and Yenawine's (1992) theories of teaching for visual literacy in the museum set the stage for significant learning for students when used together. If school teachers lay a foundation of knowledge about a museum object, especially through museum resources, then the student may transform and apply this 'prior knowledge' (explicit memories from the classroom) while on the museum visit tour. When docents utilize Yenawine's (1992) methods toward the goal of visual literacy, the semantic knowledge of the classroom is then fused with museum learning, building stronger memories and facilitating deeper understanding as students learn about museum objects. This research explored the correlation of these two theories in a qualitative manner based on observations of actual museum visit preparation in classrooms in Casper, Wyoming, and how it related to a museum tour at the Nicolaysen Art Museum and Discovery Center. The research revealed that conditions do exist within the community that would facilitate Bruner's (1963) idea of a learning spiral, yet not in the manner envisioned. The observed conditions toward a spiral was accomplished through the participant teachers relating the museum exhibit to their operational curriculum in a variety of curricular areas, such as language arts and science, when docents related the tour to classroom learning, and not through museum resources or Yenawine's (1992) methods toward increasing visual literacy, as was previously considered.

Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2017-07-11T14:35:16Z No. of bitstreams: 3 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) projeto_v26016.pdf: 1271790 bytes, checksum: f724d8523f2ffdb11ce599aff1eb8eb6 (MD5) projeto_v26016.pdf: 1271790 bytes, checksum: f724d8523f2ffdb11ce599aff1eb8eb6 (MD5) / Made available in DSpace on 2017-07-11T14:35:16Z (GMT). No. of bitstreams: 3 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) projeto_v26016.pdf: 1271790 bytes, checksum: f724d8523f2ffdb11ce599aff1eb8eb6 (MD5) projeto_v26016.pdf: 1271790 bytes, checksum: f724d8523f2ffdb11ce599aff1eb8eb6 (MD5) Previous issue date: 2016-07-08 / As Instituições Federais de Ensino Superior (IFES) possuem um importante papel no desenvolvimento social e econômico do país, contribuindo para o avanço tecnológico e cientifico e fomentando investimentos. Nesse sentido, entende-se que um melhor aproveitamento dos recursos educacionais ofertados pelas IFES contribui para a evolução da educação superior, como um todo. Uma maneira eficaz de atender esta necessidade é analisar o perfil dos estudantes ingressos e procurar prever, com antecedência, casos indesejáveis de evasão que, quanto mais cedo identificados, melhor poderão ser estudados e tratados pela administração. Neste trabalho, propõe-se a definição de uma abordagem para aplicação de técnicas diretas de Mineração de Dados objetivando a classificação dos discentes ingressos de acordo com o risco de evasão que apresentam. Como prova de conceito, a análise dos aspectos inerentes ao processo de Mineração de Dados proposto se deu por meio de experimentações conduzidas no ambiente da Universidade Federal de Pernambuco (UFPE). Para alguns dos algoritmos classificadores, foi possível obter uma acurácia de classificação de 73,9%, utilizando apenas dados socioeconômicos disponíveis quando do ingresso do discente na instituição, sem a utilização de nenhum dado dependente do histórico acadêmico. / The Brazilian's Federal Institutions of Higher Education have an important role in the social and economic development of the country, contributing to the technological and scientific advances and encouraging investments. Therefore, it is possible to infer that a better use of the educational resources offered by those institutions contributes to the evolution of higher education as a whole. An effective way to meet this need is to analyze the profile of the freshmen students and try to predict, as soon as possible, undesirable cases of dropout that when earlier identified can be examined and addressed by the institution's administration. This work propose the development of a approach for direct application of Data Mining techniques to classify newcomer students according to their dropout risk. As a viability proof, the proposed Data Mining approach was evaluated through experimentations conducted in the Federal University of Pernambuco. Some of the classification algorithms tested had an classification accuracy of 73.9% using only socioeconomic data available since the student's admission to the institution, without the use of any academic related data.

Nas últimas décadas, a capacidade das empresas de gerar e coletar informações aumentou rapidamente. Essa explosão no volume de dados gerou a necessidade do desenvolvimento de novas técnicas e ferramentas que pudessem, além de processar essa enorme quantidade de dados, permitir sua análise para a descoberta de informações úteis, de maneira inteligente e automática. Isso fez surgir um proeminente campo de pesquisa para a extração de informação em bases de dados denominado Knowledge Discovery in Databases – KDD, no geral técnicas de mineração de dados – DM – têm um papel preponderante. A obtenção de bons resultados na etapa de mineração de dados depende fortemente de quão adequadamente o preparo dos dados é realizado. Sendo assim, a etapa de extração de conhecimento (DM) no processo de KDD, é normalmente precedida de uma etapa de pré-processamento, onde os dados que porventura devam ser submetidos à etapa de DM são integrados em uma única relação. Um problema importante enfrentado nessa etapa é que, na maioria das vezes, o usuário ainda não tem uma idéia muito precisa dos dados que devem ser extraídos. Levando em consideração a grande habilidade de exploração da mente humana, este trabalho propõe uma técnica de visualização de dados armazenados em múltiplas relações de uma base de dados relacional, com o intuito de auxiliar o usuário na preparação dos dados a serem minerados. Esta técnica permite que a etapa de DM seja aplicada sobre múltiplas relações simultaneamente, trazendo as operações de junção para serem parte desta etapa. De uma maneira geral, a adoção de junções em ferramentas de DM não é prática, devido ao alto custo computacional associado às operações de junção. Entretanto, os resultados obtidos nas avaliações de desempenho da técnica proposta neste trabalho mostraram que ela reduz esse custo significativamente, tornando possível a exploração visual de múltiplas relações de uma maneira interativa. / In the last decades the capacity of information generation and accumulation increased quickly. With the explosive growth in the volume of data, new techniques and tools are being sought to process it and to automatically discover useful information from it, leading to techniques known as Knowledge Discovery in Databases – KDD – where, in general, data mining – DM – techniques play an important role. The results of applying data mining techniques on datasets are highly dependent on proper data preparation. Therefore, in traditional DM processes, data goes through a pre-processing step that results in just one table that is submitted to mining. An important problem faced during this step is that, most of the times, the analyst doesn’t have a clear idea of what portions of data should be mined. This work reckons the strong ability of human beings to interpret data represented in graphical format, to develop a technique to visualize data from multiple tables, helping human analysts when preparing data to DM. This technique allows the data mining process to be applied over multiple relations at once, bringing the join operations to become part of this process. In general, the use of multiple tables in DM tools is not practical, due to the high computational cost required to explore them. Experimental evaluation of the proposed technique shows that it reduces this cost significantly, turning it possible to visually explore data from multiple tables in an interactive way.

Pokémon GO hit the world with a bang in the summer of 2016 and has since then set new records regarding revenue on multiple occasions. It has been researched extensively, although first and foremost from a HCI (human-computer interactions) and healthcare/public health perspective. In particular, studies approaching the phenomenon from a human geography and urban planning perspective have been very limited. This study therefore takes an inductive and exploratory approach and explores the ways in which Pokémon GO influences how players use and experience the city and how urban planners can use Pokémon GO in their work. To do this, nine interviews were conducted, six with currently active players and three with completely new players. A number of different themes emerged from the interviews and was subsequently used to structure the results. Physical activity, social interactions and benefits and exploration and discovery were the most prominent themes and also the most frequently mentioned reasons why players enjoy the game. Finally the findings are discussed in relation to planning with a focus on participatory planning practices but also in more general terms regarding urban and spatial planning.

Epigenetic changes (specifically DNA methylation) have been associated with adverse health outcomes; however, unlike genetic markers that are fixed over the lifetime of an individual, methylation can change. Given that there are a large number of methylation sites, measuring them repeatedly introduces multiple testing problems beyond those that exist in a static genetic context. Using simulations of epigenetic data, we considered different methods of controlling the false discovery rate. We considered several underlying associations between an exposure and methylation over time. We found that testing each site with a linear mixed effects model and then controlling the false discovery rate (FDR) had the highest positive predictive value (PPV), a low number of false positives, and was able to differentiate between differential methylation that was present at only one time point vs. a persistent relationship. In contrast, methods that controlled FDR at a single time point and ad hoc methods tended to have lower PPV, more false positives, and/or were unable to differentiate these conditions. Validation in data obtained from Project Viva found a difference between fitting longitudinal models only to sites significant at one time point and fitting all sites longitudinally.