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Bicer et al., 2022 - Google Patents

Near candidate-less Apriori with tidlists and other Apriori implementations

Bicer et al., 2022

Document ID
3186571086449469736
Author
Bicer M
Indictor D
Yang R
Zhang X
Publication year
Publication venue
International Journal of Applied Logistics (IJAL)

External Links

Snippet

In this study we implemented four different versions of Apriori, namely, basic and basic multi- threaded, bloom filter, trie, and count-min sketch, and proposed a new algorithm–NCLAT (Near Candidate-Less Apriori with Tidlists). We compared the runtimes and max memory …
Continue reading at www.igi-global.com (other versions)

Classifications

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    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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