Matches in SemOpenAlex for { <https://semopenalex.org/work/W2085436621> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2085436621 endingPage "980" @default.
- W2085436621 startingPage "969" @default.
- W2085436621 abstract "This article presents a soft-computing-based data mining technique that addresses methodology aspects on extracting classification rules characterized by ellipsoidal regions in feature space. Self-organizing mapping and statistical techniques are employed to initialize the rules. A regularization model embedding some information on recognition rate and generalization ability is presented for refining the initial rules. Rule optimization is implemented for each individual rule using an evolutionary strategy. To generate rules for patterns with low probability of occurrence but considerable conceptual importance, a multilayer structure of rule generation and use is proposed. Simulation results are carried out by three benchmark data sets, and compared with other data mining tools and classifiers, such as decision trees, BRAINNE (Building Representations of Artificial Intelligence (AI) using Neural Networks), support vector machine, and neural networks. Our technique demonstrates its power and potential for real-world applications." @default.
- W2085436621 created "2016-06-24" @default.
- W2085436621 creator A5021272598 @default.
- W2085436621 creator A5049421085 @default.
- W2085436621 date "2006-10-20" @default.
- W2085436621 modified "2023-10-16" @default.
- W2085436621 title "Extraction of classification rules characterized by ellipsoidal regions using soft-computing techniques" @default.
- W2085436621 cites W1968498923 @default.
- W2085436621 cites W1973077932 @default.
- W2085436621 cites W1991848143 @default.
- W2085436621 cites W2001619934 @default.
- W2085436621 cites W2004075725 @default.
- W2085436621 cites W2007187232 @default.
- W2085436621 cites W2030651759 @default.
- W2085436621 cites W2071643931 @default.
- W2085436621 cites W2100406636 @default.
- W2085436621 cites W2103719091 @default.
- W2085436621 cites W2107389842 @default.
- W2085436621 cites W2108724252 @default.
- W2085436621 cites W2110200678 @default.
- W2085436621 cites W2112036221 @default.
- W2085436621 cites W2112649152 @default.
- W2085436621 cites W2116315790 @default.
- W2085436621 cites W2121647068 @default.
- W2085436621 cites W2122997647 @default.
- W2085436621 cites W2132549764 @default.
- W2085436621 cites W2144534900 @default.
- W2085436621 cites W2150832756 @default.
- W2085436621 cites W2157665283 @default.
- W2085436621 cites W2158638650 @default.
- W2085436621 cites W2160671582 @default.
- W2085436621 cites W4256165609 @default.
- W2085436621 cites W4298096392 @default.
- W2085436621 doi "https://doi.org/10.1080/00207720600891489" @default.
- W2085436621 hasPublicationYear "2006" @default.
- W2085436621 type Work @default.
- W2085436621 sameAs 2085436621 @default.
- W2085436621 citedByCount "3" @default.
- W2085436621 countsByYear W20854366212012 @default.
- W2085436621 countsByYear W20854366212013 @default.
- W2085436621 crossrefType "journal-article" @default.
- W2085436621 hasAuthorship W2085436621A5021272598 @default.
- W2085436621 hasAuthorship W2085436621A5049421085 @default.
- W2085436621 hasConcept C119857082 @default.
- W2085436621 hasConcept C124101348 @default.
- W2085436621 hasConcept C13280743 @default.
- W2085436621 hasConcept C134306372 @default.
- W2085436621 hasConcept C153180895 @default.
- W2085436621 hasConcept C154945302 @default.
- W2085436621 hasConcept C177148314 @default.
- W2085436621 hasConcept C185798385 @default.
- W2085436621 hasConcept C205649164 @default.
- W2085436621 hasConcept C2776135515 @default.
- W2085436621 hasConcept C33923547 @default.
- W2085436621 hasConcept C41008148 @default.
- W2085436621 hasConcept C50644808 @default.
- W2085436621 hasConcept C84839998 @default.
- W2085436621 hasConceptScore W2085436621C119857082 @default.
- W2085436621 hasConceptScore W2085436621C124101348 @default.
- W2085436621 hasConceptScore W2085436621C13280743 @default.
- W2085436621 hasConceptScore W2085436621C134306372 @default.
- W2085436621 hasConceptScore W2085436621C153180895 @default.
- W2085436621 hasConceptScore W2085436621C154945302 @default.
- W2085436621 hasConceptScore W2085436621C177148314 @default.
- W2085436621 hasConceptScore W2085436621C185798385 @default.
- W2085436621 hasConceptScore W2085436621C205649164 @default.
- W2085436621 hasConceptScore W2085436621C2776135515 @default.
- W2085436621 hasConceptScore W2085436621C33923547 @default.
- W2085436621 hasConceptScore W2085436621C41008148 @default.
- W2085436621 hasConceptScore W2085436621C50644808 @default.
- W2085436621 hasConceptScore W2085436621C84839998 @default.
- W2085436621 hasIssue "13" @default.
- W2085436621 hasLocation W20854366211 @default.
- W2085436621 hasOpenAccess W2085436621 @default.
- W2085436621 hasPrimaryLocation W20854366211 @default.
- W2085436621 hasRelatedWork W112744582 @default.
- W2085436621 hasRelatedWork W1485630101 @default.
- W2085436621 hasRelatedWork W2498017833 @default.
- W2085436621 hasRelatedWork W2961085424 @default.
- W2085436621 hasRelatedWork W2989932438 @default.
- W2085436621 hasRelatedWork W4221150964 @default.
- W2085436621 hasRelatedWork W4287116162 @default.
- W2085436621 hasRelatedWork W4312365371 @default.
- W2085436621 hasRelatedWork W4312903001 @default.
- W2085436621 hasRelatedWork W1629725936 @default.
- W2085436621 hasVolume "37" @default.
- W2085436621 isParatext "false" @default.
- W2085436621 isRetracted "false" @default.
- W2085436621 magId "2085436621" @default.
- W2085436621 workType "article" @default.