Thesis (M.S.)--Rochester Institute of Technology, 2008. / Typescript. Includes bibliographical references (leaves 84-90).

Thesis (M.S.)--Ohio University, June, 1997. / Title from PDF t.p.

Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2009. / Committee Chair: Pu, Calton; Committee Member: Ahamad, Mustaque; Committee Member: Feamster, Nick; Committee Member: Liu, Ling; Committee Member: Wu, Shyhtsun Felix. Part of the SMARTech Electronic Thesis and Dissertation Collection.

Thesis (M.S.)--Brigham Young University. Dept. of Computer Science, 2005. / Includes bibliographical references (p. 47-50).

Thesis (M. Eng.), Memorial University of Newfoundland, 1999. / Bibliography: p. 130-134.

Thesis (Ph.D.) - University of Queensland, 2006. / Includes bibliography.

Thesis (Ph. D.)--University of Texas at Austin, 2007. / Vita. Includes bibliographical references.

The use of electronic mail (email) has evolved from sending simple messages to task delegation and management. Most mail clients, however, have not kept up with the evolution and as a result have limited task management features available. On the other hand, while issue tracking systems offer useful task management functionality, they are not as widespread as emails and also have a few drawbacks. This thesis reports on the exploration of the integration of the ubiquitous nature of email with the task management features of issue-tracking systems. We explore this using simple ad-hoc as well as semi-automated tasks. With these two working together, tasks can be delegated from email clients without needing to switch between the two environments. It brings some of the benefits of issue tracking systems closer to our email users.The system is developed using Microsoft VisuaI Studio.NET. with the code written in C#. The eXtreme Programming (XP) methodology was used during the development of the proof-of-concept prototype that demonstrates the integration of the two environments, as we were faced at first with vague requirements bound to change, as we better understood the problem domain through our development. XP allowed us to skip an extended and comprehensive initial design process and incrementally develop the system, making refinements and extensions as we encountered the need for them. This alleviated the need to make upfront decisions that were based on minimal knowledge of what to expect during development. This thesis describes the implementation of the prototype and the decisions made with each step taken towards developing an email-based issue tracking system. With the two environments working together, we can now easily track issues from our email clients without needing to switch to another system. / KMBT_363 / Adobe Acrobat 9.54 Paper Capture Plug-in

Esta pesquisa tem como objetivo entender o porquê de tantas pessoas se utilizarem do e-mail para divulgar mensagens de atitude positiva, valores positivos, otimismo, sabedoria, espiritualidade e sentido da vida. O que as motivam e quais são os efeitos em suas vidas? Partindo da experiência de um grupo de troca de mensagens humanísticas e espirituais, abordaremos alguns aspectos sobre esse fenômeno da Internet. Para o enfoque da sociabilidade em rede, utilizaremos os conceitos de Ciberespaço, Cibercultura e Inteligência Coletiva. A propagação da fé terá uma ótica da Mística e do Sagrado. A Transdisciplinaridade servirá de suporte para o diálogo inter-religioso que se evidencia. E analisaremos os efeitos terapêuticos através de uma forma de conhecimento humano denominado Logoterapia / This research aims at understanding why so many people use Internet e-mail in order to divulge positive attitudes, positive values, optimism, wisdom, spirituality and meaning of life messages. What does motivate them and which are the effects in their lives? Departing from a humanistic and spiritual messages exchange group experience, we will deal with some aspects regarding to this Internet phenomenon. In order to focus sociability through network, we will employ Cyberspace, Cyberculture and Collective Intelligence concepts. The propagation of faith will be made through Mystic and Sacred optic. Transdisciplinarity will work as support for interreligious dialogue that becomes, by itself, evident. And, at least, we will analyze therapeutic effects, through a kind of human knowledge, denominated Logotherapy

Orientadores: Akebo Yamakami, Tiago Agostinho de Almeida / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-22T13:22:48Z (GMT). No. of bitstreams: 1 Silva_RenatoMoraes_M.pdf: 4136928 bytes, checksum: 218846058592353cb167c8c2d61e1bfd (MD5) Previous issue date: 2013 / Resumo: Com o crescente aumento do volume de informações disponíveis na Web, as ferramentas de busca tornam-se cada vez mais importantes para os usuários da Internet. Consequentemente, com o objetivo de se tornar mais visíveis, os sites concorrem entre si para ganhar melhores posições nos resultados das buscas feitas por esses usuários. Porém, muitos ganham maior visibilidade através de estratégias que enganam as ferramentas de busca. Esses sites, conhecidos como Web spam, causam prejuízos pessoais e econômicos aos usuários. Diante desse cenário, este trabalho apresenta uma análise do desempenho de diversos métodos de aprendizado de máquina aplicados na detecção automática de Web hosts que propagam Web spam. Os experimentos foram realizados usando duas bases de dados reais, públicas e de grande porte, das quais foram extraídos três diferentes conjuntos de vetores de atributos: baseados no conteúdo das páginas Web, baseados nos links das páginas Web e formados pela transformação dos atributos baseados nos links. Também foi analisada a viabilidade da redução de dimensionalidade do espaço dos atributos. Outra contribuição desse trabalho é a proposta de uma abordagem de classificação de Web spam, em que as predições obtidas com cada tipo de vetor de atributos são combinadas e uma decisão final é obtida usando-se voto majoritário simples. Os resultados obtidos indicam que os métodos de bagging de árvores de decisão, redes neurais perceptron de múltiplas camadas, floresta aleatória e boosting adaptativo de árvores de decisão são promissores na tarefa de detecção de Web spam. Além disso, verificou-se que os métodos de aprendizado tem melhor desempenho quando os vetores de atributos baseados no conteúdo e os vetores formados pela transformação dos atributos baseados nos links são combinados. Por fim, a combinação das predições obtidas com cada tipo de vetor de atributos gera bons resultados e por isso, essa é uma abordagem recomendada para o combate de Web spamming / Abstract: Due to the increasing volume of information available on the Web, search engines become increasingly important to Internet users. Consequently, with the purpose of becoming more visible, the Web sites compete to achieve better positions in the results of the searches made by such users. However, many of them achieve a good visibility through strategies that try to circumvent the search engines. This kind of Web sites are known as Web spam and they are responsible for personal injury and economic losses to users. Given this scenario, this work presents a performance analysis of established machine learning techniques employed to automatically detect Web hosts that disseminate Web spam. The experiments were performed with two real, public and large datasets, from which were extracted three different sets of features vectors: contentbased ones, link-based ones and features vectors generated by the transformation of the link-based features. We also analyzed the viability of the dimensionality reduction of the feature space. Another contribution of this work is the proposal of a Web spam classification approach which combines the predictions achieved by each type of features vector and using a simple majority voting. The results indicate that bagging of decision trees, multilayer perceptron neural networks, random forest and adaptive boosting of decision trees are promising in the task of spam hosts classification. Furthermore, we have conclude that the learning techniques perform better when we have combined the content-based features vectors and the features vectors generated by the transformation of the link-based features. Finally, the combination of the predictions achieved with each type of features vector has achieved superior results and therefore it is a recommended approach to automatically detect Web spam / Mestrado / Automação / Mestre em Engenharia Elétrica