Abordagem de Extracção de Dados Baseada Na Extracção de Fluxos
Abordagem de Extracção de Dados Baseada Na Extracção de Fluxos

Abordagem de Extracção de Dados Baseada Na Extracção de Fluxos


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About the Book

O Clustering é uma das técnicas mais importantes na extração de dados. O seu objetivo é dividir os dados em grupos de objectos semelhantes. São designados por clusters. Esta investigação compara o algoritmo StreamKM++ com os trabalhos existentes, tais como AP, IAPKM e IAPNA. O algoritmo StreamKM++ é um novo algoritmo de clustering a partir do fluxo de dados e constrói um bom clustering do fluxo, utilizando uma pequena quantidade de memória e tempo. Muitos investigadores trabalharam com algoritmos de clustering estáticos, mas em tempo real os dados são dinâmicos por natureza. Por isso, a técnica estática convencional não é compatível com o ambiente de tempo real. Neste trabalho, é utilizado o algoritmo StreamKM++, que atinge um elevado desempenho de agrupamento em relação ao AP tradicional, ao IAPKM e ao IAPNA. Os resultados experimentais mostram que o algoritmo StreamKM++ obtém os melhores resultados em comparação com os trabalhos existentes. Aumentou a taxa de precisão média e reduziu o tempo de computação, a memória e o número de iterações.


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Product Details
  • ISBN-13: 9786207272297
  • Publisher: KS Omniscriptum Publishing
  • Binding: Paperback
  • Language: Portuguese
  • Returnable: N
  • Weight: 172 gr
  • ISBN-10: 6207272293
  • Publisher Date: 19 Mar 2024
  • Height: 229 mm
  • No of Pages: 76
  • Spine Width: 5 mm
  • Width: 152 mm


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Abordagem de Extracção de Dados Baseada Na Extracção de Fluxos
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