O Poder do Data Warehouse em aplicações de Machine Learning
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O Poder do Data Warehouse em aplicações de Machine Learning

O Poder do Data Warehouse em aplicações de Machine Learning


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About the Book

As aplicações de mineração de dados e textos oriundos da Internet têm sido alvo de recentes pesquisas. E, em todos os casos, as tarefas de mineração de dados necessitam trabalhar sobre dados limpos, consistentes e integrados para obter os melhores resultados. Sendo assim, ambientes de Data Warehouse são uma valiosa fonte de dados limpos e integrados para as aplicações de mineração. A tecnologia de Data Warehouse tem evoluído no sentido de recuperar e tratar dados provenientes da Web. Em particular, os sites de notícias são fontes ricas em textos, que podem compor um corpus linguístico. Inserindo o corpus em um ambiente de Data Warehouse, as aplicações poderão tirar proveito da flexibilidade que um modelo multidimensional e as operações OLAP fornecem. Dentre as vantagens estão a navegação pelos dados, a seleção da parte dos dados considerados relevantes, a análise dos dados em diferentes níveis de abstração, e a agregação, desagregação, rotação e filtragem sobre qualquer conjunto de dados. Este trabalho apresenta o ambiente de Data Warehouse Newsminer, que fornece um conjunto de textos consistente e limpo, na forma de um corpus multidimensional.


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Product Details
  • ISBN-13: 9786139708116
  • Publisher: KS Omniscriptum Publishing
  • Publisher Imprint: Novas Edicoes Academicas
  • Height: 229 mm
  • No of Pages: 100
  • Spine Width: 6 mm
  • Width: 152 mm
  • ISBN-10: 6139708117
  • Publisher Date: 08 Nov 2018
  • Binding: Paperback
  • Language: Portuguese
  • Returnable: N
  • Weight: 209 gr


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