Matches in SemOpenAlex for { <https://semopenalex.org/work/W2062909732> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2062909732 abstract "New classification approach that use association rule mining and classification has become a significant tool for knowledge discovery. An important advantage of these classification systems is that, using Association Rule Mining (ARM) they are able to examine several features at a time. While other state of art methods like decision tree or naive bayes classifiers consider that feature is independent of each other. Many applications can benefit from good classification model. Associative classifiers are especially fit to applications where the model may assist the domain experts in their decisions. There are many domains such as medical, where the maximum accuracy of the model is desired and hence the accuracy of the associative classifiers. In this paper, we propose a new framework (associative classifier) that uses weighted association rule mining (WARM). In any prediction model all attributes do not have same importance in predicting the class label. So different weights can be assigned to different attributes according to their predicting capability. We propose a theoretical model to introduce new associative classifier that takes advantage of weighted association rule mining. The model can be applied in any domain to improve the prediction accuracy." @default.
- W2062909732 created "2016-06-24" @default.
- W2062909732 creator A5004099006 @default.
- W2062909732 creator A5041065120 @default.
- W2062909732 creator A5066292123 @default.
- W2062909732 date "2009-01-01" @default.
- W2062909732 modified "2023-10-02" @default.
- W2062909732 title "An associative classifier using weighted association rule" @default.
- W2062909732 cites W1484413656 @default.
- W2062909732 cites W1506285740 @default.
- W2062909732 cites W1550084988 @default.
- W2062909732 cites W1623342295 @default.
- W2062909732 cites W1987191780 @default.
- W2062909732 cites W2034607334 @default.
- W2062909732 cites W2057858164 @default.
- W2062909732 cites W2094770144 @default.
- W2062909732 cites W2098268836 @default.
- W2062909732 cites W2110121091 @default.
- W2062909732 cites W2119336358 @default.
- W2062909732 cites W2129095048 @default.
- W2062909732 cites W2138061404 @default.
- W2062909732 cites W2154642793 @default.
- W2062909732 cites W2167681385 @default.
- W2062909732 cites W1927392184 @default.
- W2062909732 doi "https://doi.org/10.1109/nabic.2009.5393687" @default.
- W2062909732 hasPublicationYear "2009" @default.
- W2062909732 type Work @default.
- W2062909732 sameAs 2062909732 @default.
- W2062909732 citedByCount "11" @default.
- W2062909732 countsByYear W20629097322012 @default.
- W2062909732 countsByYear W20629097322014 @default.
- W2062909732 countsByYear W20629097322015 @default.
- W2062909732 countsByYear W20629097322019 @default.
- W2062909732 countsByYear W20629097322021 @default.
- W2062909732 crossrefType "proceedings-article" @default.
- W2062909732 hasAuthorship W2062909732A5004099006 @default.
- W2062909732 hasAuthorship W2062909732A5041065120 @default.
- W2062909732 hasAuthorship W2062909732A5066292123 @default.
- W2062909732 hasConcept C119857082 @default.
- W2062909732 hasConcept C12267149 @default.
- W2062909732 hasConcept C124101348 @default.
- W2062909732 hasConcept C153180895 @default.
- W2062909732 hasConcept C154945302 @default.
- W2062909732 hasConcept C159423971 @default.
- W2062909732 hasConcept C193524817 @default.
- W2062909732 hasConcept C202444582 @default.
- W2062909732 hasConcept C33923547 @default.
- W2062909732 hasConcept C41008148 @default.
- W2062909732 hasConcept C52001869 @default.
- W2062909732 hasConcept C84525736 @default.
- W2062909732 hasConcept C95623464 @default.
- W2062909732 hasConceptScore W2062909732C119857082 @default.
- W2062909732 hasConceptScore W2062909732C12267149 @default.
- W2062909732 hasConceptScore W2062909732C124101348 @default.
- W2062909732 hasConceptScore W2062909732C153180895 @default.
- W2062909732 hasConceptScore W2062909732C154945302 @default.
- W2062909732 hasConceptScore W2062909732C159423971 @default.
- W2062909732 hasConceptScore W2062909732C193524817 @default.
- W2062909732 hasConceptScore W2062909732C202444582 @default.
- W2062909732 hasConceptScore W2062909732C33923547 @default.
- W2062909732 hasConceptScore W2062909732C41008148 @default.
- W2062909732 hasConceptScore W2062909732C52001869 @default.
- W2062909732 hasConceptScore W2062909732C84525736 @default.
- W2062909732 hasConceptScore W2062909732C95623464 @default.
- W2062909732 hasLocation W20629097321 @default.
- W2062909732 hasOpenAccess W2062909732 @default.
- W2062909732 hasPrimaryLocation W20629097321 @default.
- W2062909732 hasRelatedWork W1470425429 @default.
- W2062909732 hasRelatedWork W2062909732 @default.
- W2062909732 hasRelatedWork W2410489130 @default.
- W2062909732 hasRelatedWork W2969622225 @default.
- W2062909732 hasRelatedWork W3204641204 @default.
- W2062909732 hasRelatedWork W3210877509 @default.
- W2062909732 hasRelatedWork W4205958290 @default.
- W2062909732 hasRelatedWork W4249746146 @default.
- W2062909732 hasRelatedWork W4283016678 @default.
- W2062909732 hasRelatedWork W4316082230 @default.
- W2062909732 isParatext "false" @default.
- W2062909732 isRetracted "false" @default.
- W2062909732 magId "2062909732" @default.
- W2062909732 workType "article" @default.