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Poolitatud Apriori algoritm

Poolitatud Apriori algoritm laiendab klassikalist Apriori sagedaste üksuste kogumite kaevandajat, lisades taustateadmisi või märgistatud piiranguid – nagu kohustuslikud paarid, keelatud üksused või kasutajaspetsiifilised minimaalsed toetusläved rühma kohta –, et suunata avastamist praktiliselt tähenduslike assotsiatsioonireeglite poole ja vähendada otsingu ruumi.

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Allikad

  1. Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules. Proceedings of the 20th International Conference on Very Large Data Bases (VLDB), 487–499. link
  2. Liu, B., Hsu, W., & Ma, Y. (1999). Mining association rules with multiple minimum supports. Proceedings of the 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 337–341. DOI: 10.1145/312129.312274

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Semi-supervised Apriori Algorithm for Constrained Association Rule Mining. ScholarGate. https://scholargate.app/et/machine-learning/semi-supervised-apriori-algorithm

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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.

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ScholarGateSemi-supervised Apriori Algorithm (Semi-supervised Apriori Algorithm for Constrained Association Rule Mining). Loetud 2026-06-15 aadressilt https://scholargate.app/et/machine-learning/semi-supervised-apriori-algorithm · Andmestik: https://doi.org/10.5281/zenodo.20539026