FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2801221325> ?p ?o ?g. }

• W2801221325 endingPage "155014771877278" @default.
• W2801221325 startingPage "155014771877278" @default.
• W2801221325 abstract "Effective feature selection determines the efficiency and accuracy of a learning process, which is essential in human activity recognition. In existing works, for simplification purposes, feature selection algorithms are mostly based on the assumption of feature independence. However, in some scenarios, the optimization method based on this independence hypothesis results in poor recognition performance. This article proposes a correlation-based binary particle swarm optimization method for feature selection in human activity recognition. In the proposed algorithm, the particle swarm optimization algorithm is no longer used as a black box. Meanwhile, correlation coefficients among the features are added to binary particle swarm optimization as a feature correlation factor to determine the position of particles, so that the feature with more information is more likely to be selected. The k-nearest neighbor classifier is then used as the fitness function in the particle swarm optimization to evaluate the performance of the feature subset, that is, feature combination with the highest k-nearest neighbor classifier recognition rate would be picked as the eigenvector. Experimental results show that the proposed method can work well with six classifiers, namely, J48, random forest, k-nearest neighbor, multilayer perceptron, naïve Bayesian, and support vector machine, and the new algorithm can improve the classification accuracy in the OPPORTUNITY Activity Recognition dataset." @default.
• W2801221325 created "2018-05-17" @default.
• W2801221325 creator A5010706620 @default.
• W2801221325 creator A5046113804 @default.
• W2801221325 creator A5053453290 @default.
• W2801221325 creator A5069263111 @default.
• W2801221325 creator A5075592269 @default.
• W2801221325 creator A5089482025 @default.
• W2801221325 date "2018-04-01" @default.
• W2801221325 modified "2023-09-22" @default.
• W2801221325 title "A correlation-based binary particle swarm optimization method for feature selection in human activity recognition" @default.
• W2801221325 cites W1864224110 @default.
• W2801221325 cites W1963626514 @default.
• W2801221325 cites W1963763787 @default.
• W2801221325 cites W1968523955 @default.
• W2801221325 cites W1977944367 @default.
• W2801221325 cites W1993573509 @default.
• W2801221325 cites W1997670376 @default.
• W2801221325 cites W2000621750 @default.
• W2801221325 cites W2003753594 @default.
• W2801221325 cites W2026557553 @default.
• W2801221325 cites W2037134354 @default.
• W2801221325 cites W2050599941 @default.
• W2801221325 cites W2069928051 @default.
• W2801221325 cites W2073401630 @default.
• W2801221325 cites W2093010752 @default.
• W2801221325 cites W2100909564 @default.
• W2801221325 cites W2102831150 @default.
• W2801221325 cites W2104696249 @default.
• W2801221325 cites W2107434184 @default.
• W2801221325 cites W2110183025 @default.
• W2801221325 cites W2118578744 @default.
• W2801221325 cites W2122210511 @default.
• W2801221325 cites W2140944144 @default.
• W2801221325 cites W2154053567 @default.
• W2801221325 cites W2219995598 @default.
• W2801221325 cites W2338755356 @default.
• W2801221325 cites W2466337456 @default.
• W2801221325 cites W2485782084 @default.
• W2801221325 cites W2611842018 @default.
• W2801221325 cites W351296582 @default.
• W2801221325 cites W4249247926 @default.
• W2801221325 cites W4300106150 @default.
• W2801221325 cites W761905901 @default.
• W2801221325 doi "https://doi.org/10.1177/1550147718772785" @default.
• W2801221325 hasPublicationYear "2018" @default.
• W2801221325 type Work @default.
• W2801221325 sameAs 2801221325 @default.
• W2801221325 citedByCount "11" @default.
• W2801221325 countsByYear W28012213252018 @default.
• W2801221325 countsByYear W28012213252019 @default.
• W2801221325 countsByYear W28012213252020 @default.
• W2801221325 countsByYear W28012213252021 @default.
• W2801221325 countsByYear W28012213252022 @default.
• W2801221325 countsByYear W28012213252023 @default.
• W2801221325 crossrefType "journal-article" @default.
• W2801221325 hasAuthorship W2801221325A5010706620 @default.
• W2801221325 hasAuthorship W2801221325A5046113804 @default.
• W2801221325 hasAuthorship W2801221325A5053453290 @default.
• W2801221325 hasAuthorship W2801221325A5069263111 @default.
• W2801221325 hasAuthorship W2801221325A5075592269 @default.
• W2801221325 hasAuthorship W2801221325A5089482025 @default.
• W2801221325 hasBestOaLocation W28012213251 @default.
• W2801221325 hasConcept C109718341 @default.
• W2801221325 hasConcept C113238511 @default.
• W2801221325 hasConcept C119857082 @default.
• W2801221325 hasConcept C122357587 @default.
• W2801221325 hasConcept C12267149 @default.
• W2801221325 hasConcept C138885662 @default.
• W2801221325 hasConcept C148483581 @default.
• W2801221325 hasConcept C153180895 @default.
• W2801221325 hasConcept C154945302 @default.
• W2801221325 hasConcept C169258074 @default.
• W2801221325 hasConcept C176066374 @default.
• W2801221325 hasConcept C2776401178 @default.
• W2801221325 hasConcept C41008148 @default.
• W2801221325 hasConcept C41895202 @default.
• W2801221325 hasConcept C50644808 @default.
• W2801221325 hasConcept C52001869 @default.
• W2801221325 hasConcept C52003472 @default.
• W2801221325 hasConcept C60908668 @default.
• W2801221325 hasConcept C85617194 @default.
• W2801221325 hasConcept C8880873 @default.
• W2801221325 hasConceptScore W2801221325C109718341 @default.
• W2801221325 hasConceptScore W2801221325C113238511 @default.
• W2801221325 hasConceptScore W2801221325C119857082 @default.
• W2801221325 hasConceptScore W2801221325C122357587 @default.
• W2801221325 hasConceptScore W2801221325C12267149 @default.
• W2801221325 hasConceptScore W2801221325C138885662 @default.
• W2801221325 hasConceptScore W2801221325C148483581 @default.
• W2801221325 hasConceptScore W2801221325C153180895 @default.
• W2801221325 hasConceptScore W2801221325C154945302 @default.
• W2801221325 hasConceptScore W2801221325C169258074 @default.
• W2801221325 hasConceptScore W2801221325C176066374 @default.
• W2801221325 hasConceptScore W2801221325C2776401178 @default.
• W2801221325 hasConceptScore W2801221325C41008148 @default.
• W2801221325 hasConceptScore W2801221325C41895202 @default.
• W2801221325 hasConceptScore W2801221325C50644808 @default.

• next