Machine learningMachine learning

Semi-supervised Apriori algoritam

Semi-supervised Apriori algoritam proširuje klasični Apriori rudnik čestih skupova stavki ubacivanjem pozadinskog znanja ili označenih ograničenja — kao što su parovi koje obavezno treba povezati (must-link), zabranjene stavke ili korisnički definisani pragovi minimalne podrške po grupi — kako bi se otkriće usmerilo ka praktično značajnim pravilima udruživanja i smanjio prostor pretrage.

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Izvori

  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

Kako citirati ovu stranicu

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

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ScholarGateSemi-supervised Apriori Algorithm (Semi-supervised Apriori Algorithm for Constrained Association Rule Mining). Preuzeto 2026-06-15 sa https://scholargate.app/sr/machine-learning/semi-supervised-apriori-algorithm · Skup podataka: https://doi.org/10.5281/zenodo.20539026