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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Vydáno v:PeerJ Comput Sci
Hlavní autoři: Iqbal, Saood, Shahid, Abdul, Roman, Muhammad, Khan, Zahid, Al-Otaibi, Shaha, Yu, Lisu
Médium: Artigo
Jazyk:Inglês
Vydáno: PeerJ Inc. 2021
Témata:
Algorithms and Analysis of Algorithms
On-line přístup: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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