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Discretização de atributos por entropia

Discretização de atributos por entropia

Sangita Gupta / Suma V

62,89 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2024
Materia
Tecnología: cuestiones generales
ISBN:
9786208037499
62,89 €
IVA incluido
Disponible

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Sobre IBD

No cenário atual, as indústrias de TI têm de lutar eficazmente em termos de custos, qualidade, serviço ou inovação para a sua subsistência no mercado global. Devido à rápida transformação da tecnologia, as indústrias de software têm de gerir um grande conjunto de dados com informações preciosas escondidas. A técnica de extração de dados permite lidar eficazmente com esta informação oculta, podendo ser aplicada à otimização do código, à previsão de falhas e a outros domínios que modulam a natureza do sucesso dos projectos de software. Além disso, a eficiência do produto desenvolvido depende ainda da qualidade do pessoal do projeto. A posição do estudo é, portanto, explorar as potencialidades do pessoal do projeto em termos das suas competências e capacidades e a sua influência na qualidade do projeto. O objetivo acima mencionado é alcançado utilizando a entropia para a seleção dos melhores atributos. O conhecimento oculto e valioso descoberto nas bases de dados relacionadas servirá de base ao sistema de apoio à decisão para a formulação de regras relacionadas com o trabalhador.

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