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Stosowane uczenie maszynowe

Stosowane uczenie maszynowe

Vijayaragavan P

111,59 €
IVA incluido
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Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
Materia
Sociedad y cultura: general
ISBN:
9786208796884
111,59 €
IVA incluido
Disponible

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Sobre IBD

Niniejsze badanie przedstawia model hybrydowy, który wykorzystuje mocne strony klasteryzacji K-średnich i maszyn wektorów nośnych (SVM) do klasyfikacji recenzji produktów online. K-średnich służy do grupowania recenzji w klastry, zmniejszając złożoność danych i poprawiając ekstrakcję cech. Następnie SVM jest wykorzystywana do klasyfikowania danych w klastrach na pozytywne, negatywne lub neutralne nastroje. Połączone podejście zwiększa dokładność klasyfikacji, zmniejsza koszty obliczeniowe i skutecznie obsługuje duże zbiory danych. Wyniki eksperymentalne pokazują, że proponowany model przewyższa tradycyjne samodzielne klasyfikatory pod względem precyzji, przywołania i ogólnej dokładności.

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