Matches in SemOpenAlex for { <https://semopenalex.org/work/W2152743337> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2152743337 endingPage "13" @default.
- W2152743337 startingPage "9" @default.
- W2152743337 abstract "An emerging topic in the field of data mining is Utility Mining. The main objective of Utility Mining is to identify the itemsets with highest utilities, by considering profit, quantity, cost or other user preferences. Mining High Utility itemsets from a transaction database is to find itemsets that have utility above a user-specified threshold. Itemset Utility Mining is an extension of Frequent Itemset mining, which discovers itemsets that occur frequently. In many real-life applications, high-utility itemsets consist of rare items. Rare itemsets provide useful information in different decision-making domains such as business transactions, medical, security, fraudulent transactions, retail communities. For example, in a supermarket, customers purchase microwave ovens or frying pans rarely as compared to bread, washing powder, soap. But the former transactions yield more profit for the supermarket. Similarly, the high-profit rare itemsets are found to be very useful in many application areas. For example, in medical application, the rare combination of symptoms can provide useful insights for doctors [21]. A retail business may be interested in identifying its most valuable customers i.e. who contribute a major fraction of overall company profit[10]. Several researches about itemset utility mining were proposed. In this paper, a literature survey of various algorithms for high utility rare itemset mining has been presented." @default.
- W2152743337 created "2016-06-24" @default.
- W2152743337 creator A5004099006 @default.
- W2152743337 creator A5041065120 @default.
- W2152743337 date "2010-08-10" @default.
- W2152743337 modified "2023-10-16" @default.
- W2152743337 title "Overview of Itemset Utility Mining and its Applications" @default.
- W2152743337 cites W1479705325 @default.
- W2152743337 cites W1484413656 @default.
- W2152743337 cites W1550084988 @default.
- W2152743337 cites W1587453484 @default.
- W2152743337 cites W1815606412 @default.
- W2152743337 cites W1965895350 @default.
- W2152743337 cites W1984607348 @default.
- W2152743337 cites W2081420846 @default.
- W2152743337 cites W2107934556 @default.
- W2152743337 cites W2114423174 @default.
- W2152743337 cites W2115274736 @default.
- W2152743337 cites W2117769694 @default.
- W2152743337 cites W2120923019 @default.
- W2152743337 cites W2142312353 @default.
- W2152743337 cites W2151201497 @default.
- W2152743337 cites W2162571043 @default.
- W2152743337 cites W2166559705 @default.
- W2152743337 cites W2181827966 @default.
- W2152743337 cites W80315153 @default.
- W2152743337 doi "https://doi.org/10.5120/956-1333" @default.
- W2152743337 hasPublicationYear "2010" @default.
- W2152743337 type Work @default.
- W2152743337 sameAs 2152743337 @default.
- W2152743337 citedByCount "22" @default.
- W2152743337 countsByYear W21527433372013 @default.
- W2152743337 countsByYear W21527433372014 @default.
- W2152743337 countsByYear W21527433372015 @default.
- W2152743337 countsByYear W21527433372018 @default.
- W2152743337 countsByYear W21527433372019 @default.
- W2152743337 countsByYear W21527433372022 @default.
- W2152743337 crossrefType "journal-article" @default.
- W2152743337 hasAuthorship W2152743337A5004099006 @default.
- W2152743337 hasAuthorship W2152743337A5041065120 @default.
- W2152743337 hasBestOaLocation W21527433371 @default.
- W2152743337 hasConcept C124101348 @default.
- W2152743337 hasConcept C23123220 @default.
- W2152743337 hasConcept C2522767166 @default.
- W2152743337 hasConcept C41008148 @default.
- W2152743337 hasConceptScore W2152743337C124101348 @default.
- W2152743337 hasConceptScore W2152743337C23123220 @default.
- W2152743337 hasConceptScore W2152743337C2522767166 @default.
- W2152743337 hasConceptScore W2152743337C41008148 @default.
- W2152743337 hasIssue "11" @default.
- W2152743337 hasLocation W21527433371 @default.
- W2152743337 hasLocation W21527433372 @default.
- W2152743337 hasOpenAccess W2152743337 @default.
- W2152743337 hasPrimaryLocation W21527433371 @default.
- W2152743337 hasRelatedWork W1561729373 @default.
- W2152743337 hasRelatedWork W2103338134 @default.
- W2152743337 hasRelatedWork W2115485936 @default.
- W2152743337 hasRelatedWork W2144190808 @default.
- W2152743337 hasRelatedWork W2153015554 @default.
- W2152743337 hasRelatedWork W2357241418 @default.
- W2152743337 hasRelatedWork W2366644548 @default.
- W2152743337 hasRelatedWork W2376314740 @default.
- W2152743337 hasRelatedWork W2384888906 @default.
- W2152743337 hasRelatedWork W3022131925 @default.
- W2152743337 hasVolume "5" @default.
- W2152743337 isParatext "false" @default.
- W2152743337 isRetracted "false" @default.
- W2152743337 magId "2152743337" @default.
- W2152743337 workType "article" @default.