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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Detalles Bibliográficos
Autores principales: Iqbal, Saood, Shahid, Abdul, Roman, Muhammad, Khan, Zahid, Al-Otaibi, Shaha, Yu, Lisu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959650/
https://www.ncbi.nlm.nih.gov/pubmed/33817031
http://dx.doi.org/10.7717/peerj-cs.385

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959650/
https://www.ncbi.nlm.nih.gov/pubmed/33817031
http://dx.doi.org/10.7717/peerj-cs.385

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