Matches in SemOpenAlex for { <https://semopenalex.org/work/W2096079942> ?p ?o ?g. }
Showing items 1 to 54 of
54
with 100 items per page.
- W2096079942 abstract "Mining of association rules for basket databases, has been investigated by [1] [3] [4], [9], [12], etc. Most of these works focus on mining binary association rules, i.e, most of the association rules mining algorithms to discover frequent itemsets do not consider the quantity in which items have been purchased. This paper discusses an efficient method for discovering a weighted association rules from a large volumes of data in a single scan of the database. The data structure used here is called Weighted Tree. We found that this algorithm is more efficient than Cai's Algorithm." @default.
- W2096079942 created "2016-06-24" @default.
- W2096079942 creator A5057100084 @default.
- W2096079942 creator A5078941914 @default.
- W2096079942 date "2010-02-01" @default.
- W2096079942 modified "2023-09-23" @default.
- W2096079942 title "Discovery of weighted association rules mining" @default.
- W2096079942 cites W1550084988 @default.
- W2096079942 cites W2011833972 @default.
- W2096079942 cites W2087587997 @default.
- W2096079942 cites W2098268836 @default.
- W2096079942 cites W2110039140 @default.
- W2096079942 cites W4248966671 @default.
- W2096079942 doi "https://doi.org/10.1109/iccae.2010.5451339" @default.
- W2096079942 hasPublicationYear "2010" @default.
- W2096079942 type Work @default.
- W2096079942 sameAs 2096079942 @default.
- W2096079942 citedByCount "3" @default.
- W2096079942 countsByYear W20960799422012 @default.
- W2096079942 countsByYear W20960799422015 @default.
- W2096079942 crossrefType "proceedings-article" @default.
- W2096079942 hasAuthorship W2096079942A5057100084 @default.
- W2096079942 hasAuthorship W2096079942A5078941914 @default.
- W2096079942 hasConcept C105445830 @default.
- W2096079942 hasConcept C124101348 @default.
- W2096079942 hasConcept C142853389 @default.
- W2096079942 hasConcept C15744967 @default.
- W2096079942 hasConcept C193524817 @default.
- W2096079942 hasConcept C41008148 @default.
- W2096079942 hasConcept C542102704 @default.
- W2096079942 hasConceptScore W2096079942C105445830 @default.
- W2096079942 hasConceptScore W2096079942C124101348 @default.
- W2096079942 hasConceptScore W2096079942C142853389 @default.
- W2096079942 hasConceptScore W2096079942C15744967 @default.
- W2096079942 hasConceptScore W2096079942C193524817 @default.
- W2096079942 hasConceptScore W2096079942C41008148 @default.
- W2096079942 hasConceptScore W2096079942C542102704 @default.
- W2096079942 hasLocation W20960799421 @default.
- W2096079942 hasOpenAccess W2096079942 @default.
- W2096079942 hasPrimaryLocation W20960799421 @default.
- W2096079942 hasRelatedWork W1969663039 @default.
- W2096079942 hasRelatedWork W2172295150 @default.
- W2096079942 hasRelatedWork W2184700712 @default.
- W2096079942 hasRelatedWork W2280016025 @default.
- W2096079942 hasRelatedWork W2347219288 @default.
- W2096079942 hasRelatedWork W2348097614 @default.
- W2096079942 hasRelatedWork W2383003961 @default.
- W2096079942 hasRelatedWork W2549557753 @default.
- W2096079942 hasRelatedWork W2595339524 @default.
- W2096079942 hasRelatedWork W2554145746 @default.
- W2096079942 isParatext "false" @default.
- W2096079942 isRetracted "false" @default.
- W2096079942 magId "2096079942" @default.
- W2096079942 workType "article" @default.