Matches in SemOpenAlex for { <https://semopenalex.org/work/W2071745847> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2071745847 abstract "Association rule mining, which is a data mining technique, finds interesting association or correlation relationships among a large set of data items. Current association rule mining tasks can only be accomplished successfully only in a distributed setting, which will require integration of knowledge generated from the multiple data sites. Most existing architectures for mining in such circumstances require massive movement of data resulting in high communication overheads leading to slow response time. These challenges are heightened when we have extremely large data sizes in multiple heterogeneous sites. Moreover, most existing algorithms and architectures are only moderately suitable for real-world scenarios. There is therefore an urgent need for improved architectures that will explore the capabilities of software agents' paradigms in order to improve on the existing systems. This work therefore introduces an adaptive architectural framework that mines association rules across multiple data sites, and more importantly the architecture adapts to changes in the updated database giving special considerations to the incremental database with the X-Apriori algorithm. The results integration agent also adapts to changes in the results sites considering the data size; size of the agents; size of intermediate results; bandwidth, and other computational resources at the data servers. The proposed system promises to reduce communication and interpretation costs, improve autonomy and efficiency of distributed association rule mining tasks." @default.
- W2071745847 created "2016-06-24" @default.
- W2071745847 creator A5035942586 @default.
- W2071745847 creator A5041029215 @default.
- W2071745847 creator A5059489339 @default.
- W2071745847 creator A5083571530 @default.
- W2071745847 date "2011-11-01" @default.
- W2071745847 modified "2023-09-26" @default.
- W2071745847 title "Towards an adaptive multi-agent architecture for association rule mining in distributed databases" @default.
- W2071745847 cites W1585587848 @default.
- W2071745847 cites W1908832090 @default.
- W2071745847 cites W1971468298 @default.
- W2071745847 cites W2045487373 @default.
- W2071745847 cites W2096322311 @default.
- W2071745847 cites W2105911913 @default.
- W2071745847 cites W2112163170 @default.
- W2071745847 cites W2115482638 @default.
- W2071745847 cites W2129978016 @default.
- W2071745847 cites W2153028052 @default.
- W2071745847 cites W2158740505 @default.
- W2071745847 cites W2166559705 @default.
- W2071745847 cites W2326828743 @default.
- W2071745847 cites W3039539181 @default.
- W2071745847 cites W63378607 @default.
- W2071745847 cites W2107207062 @default.
- W2071745847 doi "https://doi.org/10.1109/icastech.2011.6145155" @default.
- W2071745847 hasPublicationYear "2011" @default.
- W2071745847 type Work @default.
- W2071745847 sameAs 2071745847 @default.
- W2071745847 citedByCount "4" @default.
- W2071745847 countsByYear W20717458472012 @default.
- W2071745847 countsByYear W20717458472014 @default.
- W2071745847 countsByYear W20717458472016 @default.
- W2071745847 countsByYear W20717458472017 @default.
- W2071745847 crossrefType "proceedings-article" @default.
- W2071745847 hasAuthorship W2071745847A5035942586 @default.
- W2071745847 hasAuthorship W2071745847A5041029215 @default.
- W2071745847 hasAuthorship W2071745847A5059489339 @default.
- W2071745847 hasAuthorship W2071745847A5083571530 @default.
- W2071745847 hasConcept C120314980 @default.
- W2071745847 hasConcept C123657996 @default.
- W2071745847 hasConcept C124101348 @default.
- W2071745847 hasConcept C136764020 @default.
- W2071745847 hasConcept C142362112 @default.
- W2071745847 hasConcept C153349607 @default.
- W2071745847 hasConcept C177264268 @default.
- W2071745847 hasConcept C193524817 @default.
- W2071745847 hasConcept C199360897 @default.
- W2071745847 hasConcept C41008148 @default.
- W2071745847 hasConcept C70061542 @default.
- W2071745847 hasConcept C77088390 @default.
- W2071745847 hasConcept C81440476 @default.
- W2071745847 hasConcept C93996380 @default.
- W2071745847 hasConceptScore W2071745847C120314980 @default.
- W2071745847 hasConceptScore W2071745847C123657996 @default.
- W2071745847 hasConceptScore W2071745847C124101348 @default.
- W2071745847 hasConceptScore W2071745847C136764020 @default.
- W2071745847 hasConceptScore W2071745847C142362112 @default.
- W2071745847 hasConceptScore W2071745847C153349607 @default.
- W2071745847 hasConceptScore W2071745847C177264268 @default.
- W2071745847 hasConceptScore W2071745847C193524817 @default.
- W2071745847 hasConceptScore W2071745847C199360897 @default.
- W2071745847 hasConceptScore W2071745847C41008148 @default.
- W2071745847 hasConceptScore W2071745847C70061542 @default.
- W2071745847 hasConceptScore W2071745847C77088390 @default.
- W2071745847 hasConceptScore W2071745847C81440476 @default.
- W2071745847 hasConceptScore W2071745847C93996380 @default.
- W2071745847 hasLocation W20717458471 @default.
- W2071745847 hasOpenAccess W2071745847 @default.
- W2071745847 hasPrimaryLocation W20717458471 @default.
- W2071745847 hasRelatedWork W1482216116 @default.
- W2071745847 hasRelatedWork W1510881536 @default.
- W2071745847 hasRelatedWork W1530462846 @default.
- W2071745847 hasRelatedWork W1975062211 @default.
- W2071745847 hasRelatedWork W2041779648 @default.
- W2071745847 hasRelatedWork W2100081092 @default.
- W2071745847 hasRelatedWork W2103640577 @default.
- W2071745847 hasRelatedWork W2120272196 @default.
- W2071745847 hasRelatedWork W2131749517 @default.
- W2071745847 hasRelatedWork W2137321767 @default.
- W2071745847 hasRelatedWork W2138204413 @default.
- W2071745847 hasRelatedWork W2179100357 @default.
- W2071745847 hasRelatedWork W2181629136 @default.
- W2071745847 hasRelatedWork W2186414011 @default.
- W2071745847 hasRelatedWork W2189116751 @default.
- W2071745847 hasRelatedWork W2529521424 @default.
- W2071745847 hasRelatedWork W2994341678 @default.
- W2071745847 hasRelatedWork W3048820656 @default.
- W2071745847 hasRelatedWork W3204386331 @default.
- W2071745847 hasRelatedWork W2622951235 @default.
- W2071745847 isParatext "false" @default.
- W2071745847 isRetracted "false" @default.
- W2071745847 magId "2071745847" @default.
- W2071745847 workType "article" @default.