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TKFIM: Top-K frequent itemset mining technique based on equivalence classes
Frequently used items mining is a significant subject of data mining studies. In the last ten years, due to innovative development, the quantity of data has grown exponentially. For frequent Itemset (FIs) mining applications, it imposes new challenges. Misconceived information may be found in recent...
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| Publicado no: | PeerJ Comput Sci |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7959650/ https://ncbi.nlm.nih.gov/pubmed/33817031 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.385 |
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