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Assotsiatsioonireeglid

Assotsiatsioonireeglite õppimine on juhendamata tehnika, mis avastab suurtel tehinguandmetel esinevaid kooskõla mustreid – „kui X siis Y“ tähendusi. Algselt formaliseerisid selle Agrawal, Imielinski ja Swami (1993) supermarketite ostukorvi analüüsiks, kuid nüüd rakendatakse seda laialdaselt e-kaubanduse soovitussüsteemides, terviseinformaatikas, bioinformaatikas ja käitumisuuringutes.

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Loe meetodi täielikku kirjeldust

Ainult liikmetele

Selle osa lugemiseks logi sisse tasuta kontoga.

Logi sisse

Method map

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

Allikad

  1. Agrawal, R., Imielinski, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, 207–216. DOI: 10.1145/170035.170072
  2. Tan, P.-N., Steinbach, M., Karpatne, A., & Kumar, V. (2018). Introduction to Data Mining (2nd ed., Ch. 5). Pearson. ISBN: 978-0-13-312890-1

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Association Rule Learning (Market Basket Analysis). ScholarGate. https://scholargate.app/et/machine-learning/association-rules

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.

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Sellele viitavad

ScholarGateAssociation Rules (Association Rule Learning (Market Basket Analysis)). Loetud 2026-06-15 aadressilt https://scholargate.app/et/machine-learning/association-rules · Andmestik: https://doi.org/10.5281/zenodo.20539026