Matches in SemOpenAlex for { <https://semopenalex.org/work/W3048350904> ?p ?o ?g. }
- W3048350904 abstract "In the past decades, the rapid growth of computer and database technologies has led to the rapid growth of large-scale datasets. On the other hand, data mining applications with high dimensional datasets that require high speed and accuracy are rapidly increasing. An important issue with these applications is the curse of dimensionality, where the number of features is much higher than the number of patterns. One of the dimensionality reduction approaches is feature selection that can increase the accuracy of the data mining task and reduce its computational complexity. The feature selection method aims at selecting a subset of features with the lowest inner similarity and highest relevancy to the target class. It reduces the dimensionality of the data by eliminating irrelevant, redundant, or noisy data. In this paper, a comparative analysis of different feature selection methods is presented, and a general categorization of these methods is performed. Moreover, in this paper, state-of-the-art swarm intelligence are studied, and the recent feature selection methods based on these algorithms are reviewed. Furthermore, the strengths and weaknesses of the different studied swarm intelligence-based feature selection methods are evaluated." @default.
- W3048350904 created "2020-08-13" @default.
- W3048350904 creator A5013127809 @default.
- W3048350904 creator A5037377774 @default.
- W3048350904 creator A5065051130 @default.
- W3048350904 date "2020-08-07" @default.
- W3048350904 modified "2023-09-27" @default.
- W3048350904 title "Review of Swarm Intelligence-based Feature Selection Methods" @default.
- W3048350904 cites W1124208489 @default.
- W3048350904 cites W1167218379 @default.
- W3048350904 cites W1444952417 @default.
- W3048350904 cites W1984144394 @default.
- W3048350904 cites W1993573509 @default.
- W3048350904 cites W2000124990 @default.
- W3048350904 cites W2007898191 @default.
- W3048350904 cites W2053410046 @default.
- W3048350904 cites W2056296562 @default.
- W3048350904 cites W2057176608 @default.
- W3048350904 cites W2058118608 @default.
- W3048350904 cites W2065322714 @default.
- W3048350904 cites W2102831150 @default.
- W3048350904 cites W2107219584 @default.
- W3048350904 cites W2113890143 @default.
- W3048350904 cites W2118578744 @default.
- W3048350904 cites W2132549764 @default.
- W3048350904 cites W2149620660 @default.
- W3048350904 cites W2149772057 @default.
- W3048350904 cites W2154053567 @default.
- W3048350904 cites W2171211995 @default.
- W3048350904 cites W2196983891 @default.
- W3048350904 cites W2213289911 @default.
- W3048350904 cites W2583674333 @default.
- W3048350904 cites W2767105247 @default.
- W3048350904 cites W2767547753 @default.
- W3048350904 cites W2780996194 @default.
- W3048350904 cites W2790215293 @default.
- W3048350904 cites W2801536506 @default.
- W3048350904 cites W2802500846 @default.
- W3048350904 cites W2803717384 @default.
- W3048350904 cites W2889803518 @default.
- W3048350904 cites W2890190333 @default.
- W3048350904 cites W2898365871 @default.
- W3048350904 cites W2899740253 @default.
- W3048350904 cites W2910351322 @default.
- W3048350904 cites W2922470279 @default.
- W3048350904 cites W2925005147 @default.
- W3048350904 cites W2940979927 @default.
- W3048350904 cites W2965837582 @default.
- W3048350904 cites W2981454367 @default.
- W3048350904 cites W2984259954 @default.
- W3048350904 cites W2996901426 @default.
- W3048350904 hasPublicationYear "2020" @default.
- W3048350904 type Work @default.
- W3048350904 sameAs 3048350904 @default.
- W3048350904 citedByCount "0" @default.
- W3048350904 crossrefType "posted-content" @default.
- W3048350904 hasAuthorship W3048350904A5013127809 @default.
- W3048350904 hasAuthorship W3048350904A5037377774 @default.
- W3048350904 hasAuthorship W3048350904A5065051130 @default.
- W3048350904 hasConcept C111030470 @default.
- W3048350904 hasConcept C119487961 @default.
- W3048350904 hasConcept C119857082 @default.
- W3048350904 hasConcept C124101348 @default.
- W3048350904 hasConcept C127413603 @default.
- W3048350904 hasConcept C138885662 @default.
- W3048350904 hasConcept C148483581 @default.
- W3048350904 hasConcept C153180895 @default.
- W3048350904 hasConcept C154945302 @default.
- W3048350904 hasConcept C201995342 @default.
- W3048350904 hasConcept C2776401178 @default.
- W3048350904 hasConcept C2780451532 @default.
- W3048350904 hasConcept C41008148 @default.
- W3048350904 hasConcept C41895202 @default.
- W3048350904 hasConcept C70518039 @default.
- W3048350904 hasConcept C81917197 @default.
- W3048350904 hasConcept C85617194 @default.
- W3048350904 hasConceptScore W3048350904C111030470 @default.
- W3048350904 hasConceptScore W3048350904C119487961 @default.
- W3048350904 hasConceptScore W3048350904C119857082 @default.
- W3048350904 hasConceptScore W3048350904C124101348 @default.
- W3048350904 hasConceptScore W3048350904C127413603 @default.
- W3048350904 hasConceptScore W3048350904C138885662 @default.
- W3048350904 hasConceptScore W3048350904C148483581 @default.
- W3048350904 hasConceptScore W3048350904C153180895 @default.
- W3048350904 hasConceptScore W3048350904C154945302 @default.
- W3048350904 hasConceptScore W3048350904C201995342 @default.
- W3048350904 hasConceptScore W3048350904C2776401178 @default.
- W3048350904 hasConceptScore W3048350904C2780451532 @default.
- W3048350904 hasConceptScore W3048350904C41008148 @default.
- W3048350904 hasConceptScore W3048350904C41895202 @default.
- W3048350904 hasConceptScore W3048350904C70518039 @default.
- W3048350904 hasConceptScore W3048350904C81917197 @default.
- W3048350904 hasConceptScore W3048350904C85617194 @default.
- W3048350904 hasLocation W30483509041 @default.
- W3048350904 hasOpenAccess W3048350904 @default.
- W3048350904 hasPrimaryLocation W30483509041 @default.
- W3048350904 hasRelatedWork W1542831055 @default.
- W3048350904 hasRelatedWork W1990718210 @default.
- W3048350904 hasRelatedWork W2101342494 @default.
- W3048350904 hasRelatedWork W2280188887 @default.