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An efficient pattern growth approach for mining fault tolerant frequent itemsets
Mining fault tolerant (FT) frequent itemsets from transactional databases are computationally more expensive than mining exact matching frequent itemsets. Previous algorithms mine FT frequent itemsets using Apriori heuristic. Apriori-like algorithms generate exponential number of candidate itemsets...
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| Pubblicato in: | Expert Syst Appl |
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| Autore principale: | |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier Ltd.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7126664/ https://ncbi.nlm.nih.gov/pubmed/32288329 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.eswa.2019.113046 |
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