38 resultados para Data-Information-Knowledge Chain
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The transition process between information and knowledge is faster and so the inputs that influence social and political practises. The dissemination of information is now determinant in terms of territorial competitiveness and both public and private sector take large benefits when the data-information- knowledge value chain repeats itself trough space and time. Mankind depends nowadays on the creation and diffusion of good and reliable information. Speed is also important and the greater the speed, the faster the opportunities for global markets. Information must be an input for knowledge and obviously for decision. So, the power of information is unquestionable. This paper focuses on concepts like information, knowledge and other, more geographical and tries to explain how territories change from real to virtual. Knowledge society appears on an evolutional context in which information dissemination is wider and technological potential overwrites traditional notions of Geography. To understand the mutations over the territories, the causes and the consequences emerges the Geography of the Knowledge Society, a new discipline inside Geography with a special concern about modern society and socio-economical developing models.
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Dissertação para a obtenção de Grau de Mestre em Engenharia e Gestão Industrial
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Paper presented at the 9th European Conference on Knowledge Management, Southampton Solent University, Southampton, UK, 4-5 Sep. 2008. URL: http://academic-conferences.org/eckm/eckm2008/eckm08-home.htm
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All every day activities take place in space. And it is upon this that all information and knowledge revolve. The latter are the key elements in the organisation of territories. Their creation, use and distribution should therefore occur in a balanced way throughout the whole territory in order to allow all individuals to participate in an egalitarian society, in which the flow of knowledge can take precedence over the flow of interests. The information society depends, to a large extent, on the technological capacity to disseminate information and, consequently, the knowledge throughout territory, thereby creating conditions which allow a more balanced development, from the both the social and economic points of view thus avoiding the existence of info-exclusion territories. Internet should therefore be considered more than a mere technology, given that its importance goes well beyond the frontiers of culture and society. It is already a part of daily life and of the new forms of thinking and transmitting information, thus making it a basic necessity essential, for a full socio-economic development. Its role as a platform of creation and distribution of content is regarded as an indispensable element for education in today’s society, since it makes information a much more easily acquired benefit.”…in the same way that the new technologies of generation and distribution of energy allowed factories and large companies to establish themselves as the organisational bases of industrial society, so the internet today constitutes the technological base of the organisational form that characterises the Information Era: the network” (CASTELLS, 2004:15). The changes taking place today in regional and urban structures are increasingly more evident due to a combination of factors such as faster means of transport, more efficient telecommunications and other cheaper and more advanced technologies of information and knowledge. Although their impact on society is obvious, society itself also has a strong influence on the evolution of these technologies. And although physical distance has lost much of the responsibility it had towards explaining particular phenomena of the economy and of society, other aspects such as telecommunications, new forms of mobility, the networks of innovation, the internet, cyberspace, etc., have become more important, and are the subject of study and profound analysis. The science of geographical information, allows, in a much more rigorous way, the analysis of problems thus integrating in a much more balanced way, the concepts of place, of space and of time. Among the traditional disciplines that have already found their place in this process of research and analysis, we can give special attention to a geography of new spaces, which, while not being a geography of ‘innovation’, nor of the ‘Internet’, nor even ‘virtual’, which can be defined as one of the ‘Information Society’, encompassing not only the technological aspects but also including a socio-economic approach. According to the last European statistical data, Portugal shows a deficit in terms of information and knowledge dissemination among its European partners. Some of the causes are very well identified - low levels of scholarship, weak investments on innovation and R&D (both private and public sector) - but others seem to be hidden behind socio-economical and technological factors. So, the justification of Portugal as the case study appeared naturally, on a difficult quest to find the major causes to territorial asymmetries. The substantial amount of data needed for this work was very difficult to obtain and for the islands of Madeira and Azores was insufficient, so only Continental Portugal was considered for this study. In an effort to understand the various aspects of the Geography of the Information Society and bearing in mind the increasing generalised use of information technologies together with the range of technologies available for the dissemination of information, it is important to: (i) Reflect on the geography of the new socio-technological spaces. (ii) Evaluate the potential for the dissemination of information and knowledge through the selection of variables that allow us to determine the dynamic of a given territory or region; (iii) Define a Geography of the Information Society in Continental Portugal.
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Based in internet growth, through semantic web, together with communication speed improvement and fast development of storage device sizes, data and information volume rises considerably every day. Because of this, in the last few years there has been a growing interest in structures for formal representation with suitable characteristics, such as the possibility to organize data and information, as well as the reuse of its contents aimed for the generation of new knowledge. Controlled Vocabulary, specifically Ontologies, present themselves in the lead as one of such structures of representation with high potential. Not only allow for data representation, as well as the reuse of such data for knowledge extraction, coupled with its subsequent storage through not so complex formalisms. However, for the purpose of assuring that ontology knowledge is always up to date, they need maintenance. Ontology Learning is an area which studies the details of update and maintenance of ontologies. It is worth noting that relevant literature already presents first results on automatic maintenance of ontologies, but still in a very early stage. Human-based processes are still the current way to update and maintain an ontology, which turns this into a cumbersome task. The generation of new knowledge aimed for ontology growth can be done based in Data Mining techniques, which is an area that studies techniques for data processing, pattern discovery and knowledge extraction in IT systems. This work aims at proposing a novel semi-automatic method for knowledge extraction from unstructured data sources, using Data Mining techniques, namely through pattern discovery, focused in improving the precision of concept and its semantic relations present in an ontology. In order to verify the applicability of the proposed method, a proof of concept was developed, presenting its results, which were applied in building and construction sector.
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Paper presented at the 8th European Conference on Knowledge Management, Barcelona, 6-7 Sep. 2008 URL: http://www.academic-conferences.org/eckm/eckm2007/eckm07-home.htm
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Enterprise and Work Innovation Studies, 5
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RESUMO - A segurança dos doentes é, actualmente, um princípio fundamental dos cuidados de saúde. Apesar desta realidade, cada ponto no processo de prestação de cuidados contém um certo grau de insegurança inerente. Os eventos adversos podem resultar de problemas na prática, produtos, processos ou sistemas. A melhoria da segurança do doente implica um esforço de todo um sistema complexo, envolvendo uma ampla gama de acções de melhoria do desempenho, segurança e gestão ambiental de risco, incluindo, entre outras prioridades, a prática de cuidados de saúde em ambiente seguro e com a melhor qualidade. É sabido que todos os anos morrem nos hospitais portugueses, cerca de três mil pessoas, devido a erros cometidos pelos profissionais de saúde. Compreender o erro humano e intervir de forma adequada nas suas causas, implica, muito mais que uma avaliação do facto em si, mas uma avaliação de toda a estrutura onde é passível de ocorrer um erro. São inúmeros os factores que estão relacionados com esta temática, sendo os factores humanos, aqueles que poderão merecer alguma reflexão, pois são ainda algo omitidos nas orientações de gestão e nas considerações de chefias. Assim sendo, pretende-se que, com este projecto de investigação, através de uma revisão da literatura, sejam identificados os vários factores humanos que influenciam o desempenho dos profissionais de saúde, envolvidos na prestação directa de cuidados. Estes factores reflectem-se na segurança dos cuidados de saúde e na melhoria da qualidade prestados nas instituições de saúde. Face aos resultados conclusivos após a revisão de literatura, é verificado que os factores humanos que influenciam o desempenho dos profissionais de saúde são: comunicação e partilha de informação; conhecimento e formação; liderança; trabalho em equipa; cultura de segurança e aprendizagem; carga de trabalho; exigências físicas e ambiente de trabalho. É esperado que o contributo deste trabalho promova o conhecimento em torno desta temática e que se apresente como o início de uma aposta na valorização, cada vez mais importante, mas ainda limitada, destes valores intangíveis da gestão – os factores humanos. ----------------------------------- ABSTRACT - Patient safety is, nowadays, a fundamental principle of health care. Despite this fact, each point in the process of care contains an inherent degree of uncertainty. Adverse events may result from problems in practice, products, processes or systems. Improving patient safety requires an effort of a whole complex system, involving a wide range of measures to improve performance, safety and environmental risk management, including, among other priorities, the practice of health care in a safe environment and the best quality. It is known that every year die, in Portuguese hospitals, around three thousand people, due to mistakes made by health professionals. To understand human error and intervene as appropriate in their causes, it is required much more than an assessment of the fact itself, but an assessment of the whole structure where it is likely to occur. There are countless factors that are related to this issue, but human factors, those who may deserve some consideration, are still left out in management guidelines and supervisors considerations. Therefore, this research project seeks to determine, through a literature review, the identification of various human factors that influence the performance of healthcare providers involved in direct provision of care. The aim is also to know which factors are reflected in safety healthcare and how they are, in fact, crucial in the performance of professionals and in the promotion of quality and safety of the healthcare provided in healthcare institutions. Given the conclusive results after a review of literature, it is found that the human factors that influence the performance of health professionals are: communicating and sharing information, knowledge and training, leadership, teamwork, safety culture and learning; workload, physical demands and work environment. It is expected that this project may contribute to advance of the knowledge regarding this problem and be an essential tool to the beginning of a reliance on the development, increasingly important but still limited, of these intangibles management values – the human factors.
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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
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RESUMO - Introdução: Através da elaboração do presente projeto de investigação pretendeu-se analisar o que poderá influenciar o custo total de um utente internado, inscrito numa USF, que foi seguidamente internado no setor hospitalar. Recorreu-se à base de dados de uma USF e de um hospital, ambos pertencentes à ARS Alentejo do ano de 2010. O objetivo central consiste em estudar a relação do volume de consultas da USF e se o tipo de admissão no hospital, sendo ela programada ou não programada, explica a variância o custo do internamento. Metodologia: Foi efetuado o cruzamento entre os dados dos utentes inscritos na USF e o total de internamento hospitalar, utilizando a sua data de nascimento e respetivo sexo. Após efetuado o cruzamento, através de um procedimento estatístico com base em SPSS, foram estipuladas pressupostos de forma a encontrar uma associação entre o custo do utente internado com as variáveis da base de dados da USF. De seguida, foi verificado se o tipo de admissão do internamento pode ou não influenciar o custo do internamento. Para efetuar tais correlações, optei por separar a amostra consoante alguns dos seus grupos mais frequentes, em que foi desagregado os internamentos referentes ao GCD 14 – Gravidez, Parto e Puerpério e dos utentes pertencentes ao escalão etários dos idosos (mais de 64 anos). Resultados: A variável da idade do utente é a que mais poderá explicar a variância do custo do internamento, apresentando sempre valores significativos para tal relação. As restantes pouco ou nada podem explicar a variância do custo do internamento. Quanto à tipologia de admissão, o facto de ser programado poderá explicar a diminuição dos dias de internamento, que concomitantemente poderá diminuir o custo do internamento, devido a forte correlação existente entre elas (r=0,666). Conclusão: A introdução da integração dos cuidados de saúde a nível primário e secundário poderá ser a solução base para a redução dos gastos desnecessários na saúde. Um maior acompanhamento do utente nos CSP poderá reduzir a frequência hospitalar, como verificamos que as variáveis da USF e o facto de a consulta ser programada podem explicar tal variância.
Energy-efficient diversity combining for different access schemes in a multi-path dispersive channel
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Dissertação para obtenção do Grau de Doutor em Engenharia Electrotécnica e Computadores
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Data Mining surge, hoje em dia, como uma ferramenta importante e crucial para o sucesso de um negócio. O considerável volume de dados que atualmente se encontra disponível, por si só, não traz valor acrescentado. No entanto, as ferramentas de Data Mining, capazes de transformar dados e mais dados em conhecimento, vêm colmatar esta lacuna, constituindo, assim, um trunfo que ninguém quer perder. O presente trabalho foca-se na utilização das técnicas de Data Mining no âmbito da atividade bancária, mais concretamente na sua atividade de telemarketing. Neste trabalho são aplicados catorze algoritmos a uma base de dados proveniente do call center de um banco português, resultante de uma campanha para a angariação de clientes para depósitos a prazo com taxas de juro favoráveis. Os catorze algoritmos aplicados no caso prático deste projeto podem ser agrupados em sete grupos: Árvores de Decisão, Redes Neuronais, Support Vector Machine, Voted Perceptron, métodos Ensemble, aprendizagem Bayesiana e Regressões. De forma a beneficiar, ainda mais, do que a área de Data Mining tem para oferecer, este trabalho incide ainda sobre o redimensionamento da base de dados em questão, através da aplicação de duas estratégias de seleção de atributos: Best First e Genetic Search. Um dos objetivos deste trabalho prende-se com a comparação dos resultados obtidos com os resultados presentes no estudo dos autores Sérgio Moro, Raul Laureano e Paulo Cortez (Sérgio Moro, Laureano, & Cortez, 2011). Adicionalmente, pretende-se identificar as variáveis mais relevantes aquando da identificação do potencial cliente deste produto financeiro. Como principais conclusões, depreende-se que os resultados obtidos são comparáveis com os resultados publicados pelos autores mencionados, sendo os mesmos de qualidade e consistentes. O algoritmo Bagging é o que apresenta melhores resultados e a variável referente à duração da chamada telefónica é a que mais influencia o sucesso de campanhas similares.
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Paper presented at the ECKM 2010 – 11th European Conference on Knowledge Management, 2-3 September, 2010, Famalicão, Portugal. URL: http://www.academic-conferences.org/eckm/eckm2010/eckm10-home.htm
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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The principal topic of this work is the application of data mining techniques, in particular of machine learning, to the discovery of knowledge in a protein database. In the first chapter a general background is presented. Namely, in section 1.1 we overview the methodology of a Data Mining project and its main algorithms. In section 1.2 an introduction to the proteins and its supporting file formats is outlined. This chapter is concluded with section 1.3 which defines that main problem we pretend to address with this work: determine if an amino acid is exposed or buried in a protein, in a discrete way (i.e.: not continuous), for five exposition levels: 2%, 10%, 20%, 25% and 30%. In the second chapter, following closely the CRISP-DM methodology, whole the process of construction the database that supported this work is presented. Namely, it is described the process of loading data from the Protein Data Bank, DSSP and SCOP. Then an initial data exploration is performed and a simple prediction model (baseline) of the relative solvent accessibility of an amino acid is introduced. It is also introduced the Data Mining Table Creator, a program developed to produce the data mining tables required for this problem. In the third chapter the results obtained are analyzed with statistical significance tests. Initially the several used classifiers (Neural Networks, C5.0, CART and Chaid) are compared and it is concluded that C5.0 is the most suitable for the problem at stake. It is also compared the influence of parameters like the amino acid information level, the amino acid window size and the SCOP class type in the accuracy of the predictive models. The fourth chapter starts with a brief revision of the literature about amino acid relative solvent accessibility. Then, we overview the main results achieved and finally discuss about possible future work. The fifth and last chapter consists of appendices. Appendix A has the schema of the database that supported this thesis. Appendix B has a set of tables with additional information. Appendix C describes the software provided in the DVD accompanying this thesis that allows the reconstruction of the present work.