ScholarGate
Asistent
Machine learningMachine learning

Polu-nadgledani FP-growth

Polu-nadgledani FP-growth proširuje klasični algoritam Frequent Pattern growth uvođenjem djelomičnih oznaka, korisnički definiranih ograničenja ili informacija na razini klase za usmjeravanje otkrivanja čestih skupova stavki. Umjesto rudarenja svih obrazaca bez razlike, fokusira se na obrasce koji su statistički česti i semantički značajni s obzirom na dostupni signal nadzora.

Otvorite u MethodMindUskoroVideoUskoroDownload slides

Pročitajte cijelu metodu

Samo za članove

Prijavite se besplatnim računom kako biste pročitali ovaj odjeljak.

Prijavite se

Method map

The neighbourhood of related methods — select a node to explore.

Izvori

  1. Han, J., Pei, J., & Yin, Y. (2000). Mining frequent patterns without candidate generation. Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 1–12. DOI: 10.1145/342009.335372
  2. FP-growth algorithm. Wikipedia. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Semi-supervised Frequent Pattern Growth. ScholarGate. https://scholargate.app/hr/machine-learning/semi-supervised-fp-growth

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Citirana u

ScholarGateSemi-supervised FP-growth (Semi-supervised Frequent Pattern Growth). Preuzeto 2026-06-15 s https://scholargate.app/hr/machine-learning/semi-supervised-fp-growth · Skup podataka: https://doi.org/10.5281/zenodo.20539026