Text Mining

be seen as a computational challenge. The knowledge acquired through textual information, once overcome the obstacles, can be used in decision making process aiming to generate competitive advantage. This can be done through Knowledge Discovery in Text. In general, traditional knowledge discovery processes are expensive when applied to large corpus, for instance, the web. Taken it into account is proposed in this work an architecture for knowledge discovery from textual databases…

be seen as a computational challenge. The knowledge acquired through textual information, once overcome the obstacles, can be used in decision making process aiming to generate competitive advantage. This can be done through Knowledge Discovery in Text. In general, traditional knowledge discovery processes are expensive when applied to large corpus, for instance, the web. Taken it into account is proposed in this work an architecture for knowledge discovery from textual databases…

SUMÁRIO 1.Resumo 4 2.Abstract 5 3.Introdução 6 4. Evolução da Web 7 4.1 Surgimento 7 4.2 Evolução 8 4.3.1 Web 1.0 e Web 2.0 9 4.3.2 Web 3.0 10 4.4 Data Mining e Web Mining 11 5. Rede 13 5.1 Redes Wan e Lan 13 5.2 Conexão Dedicada 14 5.2.1 Frame Relay 15 5.2.2 Switch Nível 2 17 6. Implantação 17 6.1 Formando rede 17 6.1.1 Rede da UnipPIM campi. 18 6.2 Servidor de Banco de Dados. 19 6.2.1 Banco de dados 23 6.3 Sistema 24 7. Web3.0 Expirience

be seen as a computational challenge. The knowledge acquired through textual information, once overcome the obstacles, can be used in decision making process aiming to generate competitive advantage. This can be done through Knowledge Discovery in Text. In general, traditional knowledge discovery processes are expensive when applied to large corpus, for instance, the web. Taken it into account is proposed in this work an architecture for knowledge discovery from textual databases…

apresentados os estudos envolvidos neste trabalho, bem como a avaliação e os resultados da implementação deste sistema. Palavras-chave: Clipping; Cluster; Clusterização; Agrupamento; Cliques; Star; Similaridade. ABSTRACT Title: “Grouping by similarity of texts for web clipping system: Cluster Clipping” The Internet has an infinite amount of information, which grows according to user interaction, which makes monitoring and understanding the events of a story a task more complicated…

com objetivo de apoiar o marketing de relacionamento ou 1-to-1 (one-to-one). Sistemas de Data Mining (Mineração de Dados ou Descoberta de Conhecimento) Objetivo: encontrar padrões implícitos em bancos dados, geralmente usando técnicas estatísticas Sistemas de Text Mining Objetivo: encontrar padrões implícitos em textos, geralmente usando técnicas estatísticas Sistemas de Web Mining Objetivo: encontrar padrões no comportamento de usuários da web, geralmente usando…

. 32.2.1 Web 1.0 Web 2.0........................................................................................ 42.2.2 Web 3.0...................................................................................................... 52.3 Date mining e Web mining..............................................................................63. REDE............................................................................................................... 83.1 Rede Wan e Lan........................

3 2.2.1 Web 1.0 Web 2.0........................................................................................ 4 2.2.2 Web 3.0...................................................................................................... 5 2.3 Date mining e Web mining..............................................................................6 3. REDE............................................................................................................... 8 3.1 Rede Wan e…

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Collections Journals About Contact us My IOPscience Iron oxides of Fazendão Deposit, East Border of Quadrilátero Ferrífero, Minas Gerais, Brazil This article has been downloaded from IOPscience. Please scroll down to see the full text article. 2010 J. Phys.: Conf. Ser. 217 012059 (http://iopscience.iop.org/1742-6596/217/1/012059) View the table of contents for this issue, or go to the journal homepage for more Download details: IP Address: 200.150.31.96 The article…