1,720,970 research outputs found
Aplicação de técnicas de visualização de informações em uma ferramenta de descoberta de conhecimento
No full textTools for knowledge discovery using data mining to extract information generate reports that are reviewed and may serve as a basis for decision making. But the perception of knowledge gained can be compromised if the results provided by the tools using technical terms, machine language or the display format of the information to be intelligible. Therefore, techniques that use information to display graphics resources become important in knowledge discovery can be applied to the results in order to facilitate the understanding of the information displayed. This work correlates the knowledge provided by the techniques of data mining with graphic features of information visualization techniques in order to assist in the understanding of the results provided by the tools of knowledge discovery. It also presents information visualization techniques most appropriate to convey the knowledge gained in addition to displaying prototypes of graphical representations of the results generated by techniques and algorithms mining tool Weka. The use of visuals to simplify the interpretation of the extracted knowledge and strengthen the information base for decision-making organizations.CapesFerramentas de descoberta de conhecimento que usam a mineração de dados para extração de informações geram relatórios que são analisados e podem servir de base para a tomada de decisão. Mas, a percepção do conhecimento obtido pode ser comprometida caso os resultados fornecidos pelas ferramentas utilizem termos técnicos, linguagem de máquina ou o formato de exibição das informações seja inteligível. Por isso, técnicas que utilizam recursos gráficos para expor informações passam a ser importantes na descoberta de conhecimento podendo ser aplicadas aos resultados de modo a facilitar a compreensão da informação exposta. Este trabalho correlaciona o conhecimento fornecido pelas técnicas de mineração de dados com as características gráficas das técnicas de visualização de informações de modo que auxiliem na compreensão dos resultados fornecidos pelas ferramentas de descoberta de conhecimento. Apresenta também as técnicas de visualização de informações mais apropriadas para transmitir o conhecimento obtido além de exibir os protótipos das representações gráficas dos resultados gerados por técnicas e algoritmos de mineração da ferramenta Weka. A aplicação de recursos visuais visa simplificar a interpretação do conhecimento extraído e fortalecer a base de informações para tomada de decisão das organizações
Comparação da redução de dimensionalidade de dados usando seleção de atributos e conceito de framework: um experimento no domínio de clientes
No full textOs dados de clientes nas empresas são coletados e armazenados em um Banco de Dados e sua administração requer o uso de uma ferramenta computacional. A construção de um modelo de Perfil de Cliente a partir de um banco de dados requer o processo descoberta de conhecimento em uma base de dados. Essa busca de conhecimento e extração de padrões das bases de dados demanda a utilização de um aplicativo com capacidade analítica para extrair informações que estão implícitas e desconhecidas, porém, potencialmente úteis. Um Banco de Dados por meio do processo de recuperação é capaz de obter informações dos clientes, mas a dificuldade é de que esses sistemas não geram padrões. Estes Bancos de dados contêm uma quantidade expressiva de atributos, os quais podem prejudicar o processo de extração de padrões. Assim, métodos de redução de dimensionalidade são empregados para eliminar atributos redundantes e melhorar o desempenho do processo de aprendizagem tanto na velocidade quanto na taxa de acerto. Também identificam um subconjunto de atributos relevantes e ideal para uma determinada base de dados. Os dois métodos de redução utilizados nesta pesquisa foram: Seleção de Atributos e Conceitos de Framework, até então não aplicados no domínio de Clientes. O Método de Seleção de Atributos tem o intuito de identificar os atributos relevantes para uma tarefa alvo na Mineração de Dados, levando em conta os atributos originais. Já os Conceitos de Framework promovem sucessivos refinamentos nos atributos que podem levar a construção de um modelo mais consistente em um domínio de aplicação. A presente pesquisa aplicou esses dois métodos para comparação destes no domínio Clientes,usando três bases de dados chamadas: Stalog, Customere Insurance. Identificaram-se cinco etapas principais para a comparação dos dois métodos de redução: Preparação das Bases de Dados, Escolha das Bases de Dados, Aplicação dos Métodos de Seleção de Atributos e dos Conceitos de Framework, Execução dos Algoritmos de Classificação e Avaliação dos Resultados. Com a operacionalização das cinco etapas, compostas por vários processos, foi possível comparar os dois métodos e identificar os melhores algoritmos que aumentam a taxa de acerto dos algoritmos classificadores e consequentemente gerar os atributos mais relevantes para uma base de dados, aumentando o desempenho do processo de aprendizagem. Desta forma, com os melhores subconjuntos identificados é possível submetê-los a aplicação de tarefas da Mineração de Dados as quais permitem a construção de regras que ajudam na Gestão do Conhecimento do Perfil do Cliente.Information related to the Customers at companies are collected and stored in databases. The administration of these data often requires the use of a computational tool. The building of a Customer Profile model from the database requires the process of knowledge discovery in databases. This search of knowledge and extraction patterns of the databases demands the use of a tool with analytics capability to extract information that are implicit, and are previously unknown, but, potentially useful. A data base through of the recovery of date, obtain information of the Customers, but the difficulty is in the fact of these systems do not generate patterns. However, these databases have an expressive amount of data, where redundant information it prejudices this process of patterns extraction. Thus, dimensionality reduction methods are employed to remove redundant information and improve the performance of the learning processes the speed as in the performance of classifier. Furthermore, it identifies a subset of relevant and ideal attributes for a determinate database. The two methods of dimensionality reduction used in this search were: Attribute Selection and Framework Concepts which theretofore were not applied in Customer domain. The Attribute Selection Method has as goal to identify the relevant attributes for a target task, taking into account the original attributes. Considering the Framework Concepts it promotes successive refinements on the attributes where can tale he building of a model more consistent application domain. The present search applied these two methods in order to comparison of these in the Customer domain, using three databases called: Stalog, Customer e Insurance. This paper identified five main steps in order to comparison of the two methods: Preparation of Database, Choice of Database, Application of the Attributes Selection and Framework Concepts Methods, Execution of the Algorithms of the Classification and Evaluation of the Results. With the implementation of theses five steps composed of several processes, it was possible to compare the two methods and identify the best classifiers algorithms and consequently to create the attributes more relevant for a database, increasingthe performance of the learning process. Of this way, with the best subset identified is possible submit them to the application of the Data Mining Tasks which allow the building of rules that help the Knowledge Management of Customer Profile
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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