Matches in SemOpenAlex for { <https://semopenalex.org/work/W2735267881> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2735267881 abstract "Classification is one of the widely used technique for data mining of dataset and is done using soft computing approach. Here a novel method called SSO-ELS is proposed for classification of datasets. In this method there is hybridization of Simplified Swarm Optimization (SSO) with ELS (Exchange Local Search), Particle Swarm Optimization (PSO) and Support Vector Machines(SVM) approach. This is done to resolve the issue of selection of hyper parameters in SVM. The selection of hyper parameters in SVM plays a crucial rule which is done by the PSO-SSO approach. This approach has two phases: In first phase best initial parameters of SVM are calculated using SSO with ELS approach and then the best parameters are fed into SVM using PSO in second phase. Brief review of classification methods is discussed. Experiments on UCI datasets indicate that the proposed SSO-PSO-SVM achieves better results than CS-PSO-SVM with respect to classification accuracy and F-measure." @default.
- W2735267881 created "2017-07-21" @default.
- W2735267881 creator A5008204926 @default.
- W2735267881 creator A5023438923 @default.
- W2735267881 creator A5025259592 @default.
- W2735267881 date "2017-02-01" @default.
- W2735267881 modified "2023-09-25" @default.
- W2735267881 title "Classification optimization using PSO-SSO based support vector machine" @default.
- W2735267881 cites W1596270182 @default.
- W2735267881 cites W1971561017 @default.
- W2735267881 cites W1975056225 @default.
- W2735267881 cites W1976744965 @default.
- W2735267881 cites W1998177457 @default.
- W2735267881 cites W2058051343 @default.
- W2735267881 cites W2063381621 @default.
- W2735267881 cites W2079907568 @default.
- W2735267881 cites W2126499181 @default.
- W2735267881 cites W2163598528 @default.
- W2735267881 cites W561235932 @default.
- W2735267881 doi "https://doi.org/10.1109/ciact.2017.7977300" @default.
- W2735267881 hasPublicationYear "2017" @default.
- W2735267881 type Work @default.
- W2735267881 sameAs 2735267881 @default.
- W2735267881 citedByCount "1" @default.
- W2735267881 countsByYear W27352678812021 @default.
- W2735267881 crossrefType "proceedings-article" @default.
- W2735267881 hasAuthorship W2735267881A5008204926 @default.
- W2735267881 hasAuthorship W2735267881A5023438923 @default.
- W2735267881 hasAuthorship W2735267881A5025259592 @default.
- W2735267881 hasConcept C119857082 @default.
- W2735267881 hasConcept C12267149 @default.
- W2735267881 hasConcept C124101348 @default.
- W2735267881 hasConcept C148483581 @default.
- W2735267881 hasConcept C153180895 @default.
- W2735267881 hasConcept C154945302 @default.
- W2735267881 hasConcept C41008148 @default.
- W2735267881 hasConcept C81917197 @default.
- W2735267881 hasConcept C85617194 @default.
- W2735267881 hasConceptScore W2735267881C119857082 @default.
- W2735267881 hasConceptScore W2735267881C12267149 @default.
- W2735267881 hasConceptScore W2735267881C124101348 @default.
- W2735267881 hasConceptScore W2735267881C148483581 @default.
- W2735267881 hasConceptScore W2735267881C153180895 @default.
- W2735267881 hasConceptScore W2735267881C154945302 @default.
- W2735267881 hasConceptScore W2735267881C41008148 @default.
- W2735267881 hasConceptScore W2735267881C81917197 @default.
- W2735267881 hasConceptScore W2735267881C85617194 @default.
- W2735267881 hasLocation W27352678811 @default.
- W2735267881 hasOpenAccess W2735267881 @default.
- W2735267881 hasPrimaryLocation W27352678811 @default.
- W2735267881 hasRelatedWork W1988953496 @default.
- W2735267881 hasRelatedWork W1991747352 @default.
- W2735267881 hasRelatedWork W2043147762 @default.
- W2735267881 hasRelatedWork W2046242828 @default.
- W2735267881 hasRelatedWork W2101483468 @default.
- W2735267881 hasRelatedWork W2185214424 @default.
- W2735267881 hasRelatedWork W2313020801 @default.
- W2735267881 hasRelatedWork W2315770304 @default.
- W2735267881 hasRelatedWork W2331821823 @default.
- W2735267881 hasRelatedWork W2356408244 @default.
- W2735267881 hasRelatedWork W2361356018 @default.
- W2735267881 hasRelatedWork W2363066486 @default.
- W2735267881 hasRelatedWork W2380496140 @default.
- W2735267881 hasRelatedWork W2545816440 @default.
- W2735267881 hasRelatedWork W2795061329 @default.
- W2735267881 hasRelatedWork W2912183088 @default.
- W2735267881 hasRelatedWork W2914009540 @default.
- W2735267881 hasRelatedWork W3134401062 @default.
- W2735267881 hasRelatedWork W3149936872 @default.
- W2735267881 hasRelatedWork W323338099 @default.
- W2735267881 isParatext "false" @default.
- W2735267881 isRetracted "false" @default.
- W2735267881 magId "2735267881" @default.
- W2735267881 workType "article" @default.