FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2294880804> ?p ?o ?g. }

• W2294880804 endingPage "145" @default.
• W2294880804 startingPage "138" @default.
• W2294880804 abstract "Credit scoring is an important topic and banks collect different data from their loan applicants to make appropriate and correct decisions. Rule bases are favourite in credit decision making because of their ability to explicitly distinguish between good and bad applicants. This paper, uses four feature selection approaches as features pre-processing combined with fuzzy apriori. These methods are stepwise regression, Classification And Regression Tree (CART), correlation matrix and Principle Component Analysis (PCA). Particle Swarm is applied to find the best fuzzy apriori rules by searching different support and confidence. Considering Australian and German University of California at Irvine (UCI) and an Iranian bank datasets, different feature selections methods are compared in terms of accuracy, number of rules and number of features. The results are compared using T test; it reveals that fuzzy apriori combined with PCA creates a compact rule base and shows better results than the single fuzzy apriori model and other combined feature selection methods." @default.
• W2294880804 created "2016-06-24" @default.
• W2294880804 creator A5048035336 @default.
• W2294880804 creator A5054075175 @default.
• W2294880804 creator A5064102724 @default.
• W2294880804 date "2015-01-01" @default.
• W2294880804 modified "2023-09-26" @default.
• W2294880804 title "Combination of Feature Selection and Optimized Fuzzy Apriori Rules: The Case of Credit Scoring" @default.
• W2294880804 cites W1493736340 @default.
• W2294880804 cites W1536245638 @default.
• W2294880804 cites W1964074981 @default.
• W2294880804 cites W1966528570 @default.
• W2294880804 cites W1981093066 @default.
• W2294880804 cites W1988474781 @default.
• W2294880804 cites W1991808165 @default.
• W2294880804 cites W1995254696 @default.
• W2294880804 cites W1995953281 @default.
• W2294880804 cites W2001753223 @default.
• W2294880804 cites W2004076523 @default.
• W2294880804 cites W2011108441 @default.
• W2294880804 cites W2016023958 @default.
• W2294880804 cites W2029864452 @default.
• W2294880804 cites W2032784723 @default.
• W2294880804 cites W2035491076 @default.
• W2294880804 cites W2036547589 @default.
• W2294880804 cites W2044804342 @default.
• W2294880804 cites W2046465357 @default.
• W2294880804 cites W2053490842 @default.
• W2294880804 cites W2058988827 @default.
• W2294880804 cites W2059693241 @default.
• W2294880804 cites W2072896650 @default.
• W2294880804 cites W2081180521 @default.
• W2294880804 cites W2085831731 @default.
• W2294880804 cites W2093829413 @default.
• W2294880804 cites W2103780778 @default.
• W2294880804 cites W2113952909 @default.
• W2294880804 cites W2133462743 @default.
• W2294880804 cites W2135411679 @default.
• W2294880804 cites W2149283560 @default.
• W2294880804 cites W2162475186 @default.
• W2294880804 cites W2506619760 @default.
• W2294880804 cites W3122651343 @default.
• W2294880804 cites W3123427206 @default.
• W2294880804 cites W350141361 @default.
• W2294880804 hasPublicationYear "2015" @default.
• W2294880804 type Work @default.
• W2294880804 sameAs 2294880804 @default.
• W2294880804 citedByCount "5" @default.
• W2294880804 countsByYear W22948808042015 @default.
• W2294880804 countsByYear W22948808042017 @default.
• W2294880804 countsByYear W22948808042020 @default.
• W2294880804 countsByYear W22948808042021 @default.
• W2294880804 crossrefType "journal-article" @default.
• W2294880804 hasAuthorship W2294880804A5048035336 @default.
• W2294880804 hasAuthorship W2294880804A5054075175 @default.
• W2294880804 hasAuthorship W2294880804A5064102724 @default.
• W2294880804 hasConcept C111472728 @default.
• W2294880804 hasConcept C119857082 @default.
• W2294880804 hasConcept C124101348 @default.
• W2294880804 hasConcept C138885662 @default.
• W2294880804 hasConcept C148483581 @default.
• W2294880804 hasConcept C154945302 @default.
• W2294880804 hasConcept C193524817 @default.
• W2294880804 hasConcept C2776401178 @default.
• W2294880804 hasConcept C2780049643 @default.
• W2294880804 hasConcept C41008148 @default.
• W2294880804 hasConcept C41895202 @default.
• W2294880804 hasConcept C42011625 @default.
• W2294880804 hasConcept C58166 @default.
• W2294880804 hasConcept C75553542 @default.
• W2294880804 hasConcept C81440476 @default.
• W2294880804 hasConcept C81917197 @default.
• W2294880804 hasConcept C84525736 @default.
• W2294880804 hasConceptScore W2294880804C111472728 @default.
• W2294880804 hasConceptScore W2294880804C119857082 @default.
• W2294880804 hasConceptScore W2294880804C124101348 @default.
• W2294880804 hasConceptScore W2294880804C138885662 @default.
• W2294880804 hasConceptScore W2294880804C148483581 @default.
• W2294880804 hasConceptScore W2294880804C154945302 @default.
• W2294880804 hasConceptScore W2294880804C193524817 @default.
• W2294880804 hasConceptScore W2294880804C2776401178 @default.
• W2294880804 hasConceptScore W2294880804C2780049643 @default.
• W2294880804 hasConceptScore W2294880804C41008148 @default.
• W2294880804 hasConceptScore W2294880804C41895202 @default.
• W2294880804 hasConceptScore W2294880804C42011625 @default.
• W2294880804 hasConceptScore W2294880804C58166 @default.
• W2294880804 hasConceptScore W2294880804C75553542 @default.
• W2294880804 hasConceptScore W2294880804C81440476 @default.
• W2294880804 hasConceptScore W2294880804C81917197 @default.
• W2294880804 hasConceptScore W2294880804C84525736 @default.
• W2294880804 hasLocation W22948808041 @default.
• W2294880804 hasOpenAccess W2294880804 @default.
• W2294880804 hasPrimaryLocation W22948808041 @default.
• W2294880804 hasRelatedWork W1546586456 @default.
• W2294880804 hasRelatedWork W1559002010 @default.
• W2294880804 hasRelatedWork W1561863899 @default.
• W2294880804 hasRelatedWork W1869713303 @default.
• W2294880804 hasRelatedWork W1979404695 @default.

• next