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Analiza wzorców na podstawie danych o przestępczości

Analiza wzorców na podstawie danych o przestępczości

Ramesh kumar K

113,13 €
IVA incluido
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Editorial:
KS OmniScriptum Publishing
Año de edición:
2026
Materia
Empresa y gestión
ISBN:
9786209703782
113,13 €
IVA incluido
Disponible

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Sobre IBD

W ostatnich dniach analiza asocjacji jest stosowana w praktyce z zestawami danych prawnych. Głównym celem tej pracy badawczej jest wydobycie reguły asocjacyjnej z różnych przypadków kradzieży zebranych z różnych źródeł w ramach jurysdykcji stanu Tamil Nadu. Po pierwsze, w tej rozprawie zaproponowano innowacyjny algorytm Theft Pattern Mining do wydobywania zbioru częstych elementów. Proponowana struktura danych jest stosowana w algorytmie Theft Pattern Mining. Wydajność proponowanego algorytmu jest porównywana z istniejącymi algorytmami Frequent Pattern Mining (FPM). Proponowany algorytm jest analizowany porównawczo z istniejącymi algorytmami U-Apriori, FP-growth i UF-growth. Wydajność proponowanego algorytmu jest badana przy użyciu syntetycznego zbioru danych, takiego jak T40I10D100K, rzeczywistego zbioru danych, takiego jak Mushroom, Gazella i proponowanego zbioru danych Tamil Nadu Theft Crime (TTC) ze szczególnym uwzględnieniem stanu Tamil Nadu.

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