Matches in SemOpenAlex for { <https://semopenalex.org/work/W4297035320> ?p ?o ?g. }
Showing items 1 to 38 of
38
with 100 items per page.
- W4297035320 abstract "Negative association rules are valuable and essential for expressing various latent properties which hide in big data. The set of valid negative association rules, however, always becomes so huge, thus an effective compression method of negative rules is quite important. Minimal generators are important concepts for compressing the set of valid negative rules. In this paper, we study a bottom-up efficient algorithms for enumerating minimal generators from given closed itemsets. So far, support calculations have always been a bottleneck in data mining calculations. Therefore, we here propose a novel enumeration algorithm which does not use any explicit support computation. We show experimental results for evaluating our bottom-up enumeration algorithm, where the algorithm performs well in terms of memory consumption compared to previous algorithms." @default.
- W4297035320 created "2022-09-25" @default.
- W4297035320 creator A5002444011 @default.
- W4297035320 creator A5017036787 @default.
- W4297035320 creator A5040332986 @default.
- W4297035320 date "2022-07-01" @default.
- W4297035320 modified "2023-10-18" @default.
- W4297035320 title "A Bottom-Up Enumeration Algorithm of Minimal Generators without Support Counting for Compressing Negative Association Rules" @default.
- W4297035320 cites W1498568244 @default.
- W4297035320 cites W2011103514 @default.
- W4297035320 cites W2026562765 @default.
- W4297035320 cites W2153472243 @default.
- W4297035320 cites W3138703411 @default.
- W4297035320 cites W4214877627 @default.
- W4297035320 doi "https://doi.org/10.1109/iiaiaai55812.2022.00135" @default.
- W4297035320 hasPublicationYear "2022" @default.
- W4297035320 type Work @default.
- W4297035320 citedByCount "0" @default.
- W4297035320 crossrefType "proceedings-article" @default.
- W4297035320 hasAuthorship W4297035320A5002444011 @default.
- W4297035320 hasAuthorship W4297035320A5017036787 @default.
- W4297035320 hasAuthorship W4297035320A5040332986 @default.
- W4297035320 hasLocation W42970353201 @default.
- W4297035320 hasOpenAccess W4297035320 @default.
- W4297035320 hasPrimaryLocation W42970353201 @default.
- W4297035320 hasRelatedWork W1965702297 @default.
- W4297035320 hasRelatedWork W1978733175 @default.
- W4297035320 hasRelatedWork W2087665380 @default.
- W4297035320 hasRelatedWork W2187866213 @default.
- W4297035320 hasRelatedWork W2347219288 @default.
- W4297035320 hasRelatedWork W2347441897 @default.
- W4297035320 hasRelatedWork W2350980814 @default.
- W4297035320 hasRelatedWork W2359343612 @default.
- W4297035320 hasRelatedWork W2361761382 @default.
- W4297035320 hasRelatedWork W2377890595 @default.
- W4297035320 isParatext "false" @default.
- W4297035320 isRetracted "false" @default.
- W4297035320 workType "article" @default.