Matches in SemOpenAlex for { <https://semopenalex.org/work/W2986533144> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W2986533144 abstract "Even though there are numerous classifiers algorithms that are more complex, k-Nearest Neighbour (k-NN) is regarded as one amongst the most successful approaches to solve real-world issues. The classification process’s effectiveness relies on the training set’s data. However, when k-NN classifier is applied to a real world, various issues could arise; for instance, they are considered to be computationally expensive as the complete training set needs to be stored in the computer for classification of the unseen data. Also, intolerance of k-NN classifier towards irrelevant features can be seen. Conversely, imbalance in the training data could occur wherein considerably larger numbers of data could be seen with some classes versus other classes. Thus, selected training data are employed to improve the effectiveness of k-NN classifier when dealing with large datasets. In this research work, a substitute method is present to enhance data selection by simultaneously clubbing the feature selection as well as instances selection pertaining to k-NN classifier by employing Cooperative Binary Particle Swarm Optimisation (CBPSO). This method can also address the constraint of employing the k-nearest neighbour classifier, particularly when handling high dimensional and imbalance data. A comparison study was performed to demonstrate the performance of our approach by employing 20 real world datasets taken from the UCI Machine Learning Repository. The corresponding table of the classification rate demonstrates the algorithm’s performance. The experimental outcomes exhibit the efficacy of our proposed approach." @default.
- W2986533144 created "2019-11-22" @default.
- W2986533144 creator A5018888060 @default.
- W2986533144 creator A5038332359 @default.
- W2986533144 creator A5073424149 @default.
- W2986533144 creator A5077619053 @default.
- W2986533144 date "2019-09-01" @default.
- W2986533144 modified "2023-09-27" @default.
- W2986533144 title "Dimentionality reduction based on binary cooperative particle swarm optimization" @default.
- W2986533144 doi "https://doi.org/10.11591/ijeecs.v15.i3.pp1382-1391" @default.
- W2986533144 hasPublicationYear "2019" @default.
- W2986533144 type Work @default.
- W2986533144 sameAs 2986533144 @default.
- W2986533144 citedByCount "0" @default.
- W2986533144 crossrefType "journal-article" @default.
- W2986533144 hasAuthorship W2986533144A5018888060 @default.
- W2986533144 hasAuthorship W2986533144A5038332359 @default.
- W2986533144 hasAuthorship W2986533144A5073424149 @default.
- W2986533144 hasAuthorship W2986533144A5077619053 @default.
- W2986533144 hasBestOaLocation W29865331441 @default.
- W2986533144 hasConcept C119857082 @default.
- W2986533144 hasConcept C12267149 @default.
- W2986533144 hasConcept C124101348 @default.
- W2986533144 hasConcept C148483581 @default.
- W2986533144 hasConcept C153180895 @default.
- W2986533144 hasConcept C154945302 @default.
- W2986533144 hasConcept C33923547 @default.
- W2986533144 hasConcept C41008148 @default.
- W2986533144 hasConcept C48372109 @default.
- W2986533144 hasConcept C51632099 @default.
- W2986533144 hasConcept C66905080 @default.
- W2986533144 hasConcept C85617194 @default.
- W2986533144 hasConcept C94375191 @default.
- W2986533144 hasConcept C95623464 @default.
- W2986533144 hasConceptScore W2986533144C119857082 @default.
- W2986533144 hasConceptScore W2986533144C12267149 @default.
- W2986533144 hasConceptScore W2986533144C124101348 @default.
- W2986533144 hasConceptScore W2986533144C148483581 @default.
- W2986533144 hasConceptScore W2986533144C153180895 @default.
- W2986533144 hasConceptScore W2986533144C154945302 @default.
- W2986533144 hasConceptScore W2986533144C33923547 @default.
- W2986533144 hasConceptScore W2986533144C41008148 @default.
- W2986533144 hasConceptScore W2986533144C48372109 @default.
- W2986533144 hasConceptScore W2986533144C51632099 @default.
- W2986533144 hasConceptScore W2986533144C66905080 @default.
- W2986533144 hasConceptScore W2986533144C85617194 @default.
- W2986533144 hasConceptScore W2986533144C94375191 @default.
- W2986533144 hasConceptScore W2986533144C95623464 @default.
- W2986533144 hasLocation W29865331441 @default.
- W2986533144 hasOpenAccess W2986533144 @default.
- W2986533144 hasPrimaryLocation W29865331441 @default.
- W2986533144 hasRelatedWork W1134929056 @default.
- W2986533144 hasRelatedWork W1978105006 @default.
- W2986533144 hasRelatedWork W1980965129 @default.
- W2986533144 hasRelatedWork W1991307725 @default.
- W2986533144 hasRelatedWork W2002293795 @default.
- W2986533144 hasRelatedWork W2036306947 @default.
- W2986533144 hasRelatedWork W2041449151 @default.
- W2986533144 hasRelatedWork W221907271 @default.
- W2986533144 hasRelatedWork W2532023448 @default.
- W2986533144 hasRelatedWork W2545001270 @default.
- W2986533144 hasRelatedWork W2547778486 @default.
- W2986533144 hasRelatedWork W2620649443 @default.
- W2986533144 hasRelatedWork W2791997396 @default.
- W2986533144 hasRelatedWork W2792381846 @default.
- W2986533144 hasRelatedWork W3035173080 @default.
- W2986533144 hasRelatedWork W3043055983 @default.
- W2986533144 hasRelatedWork W3109126425 @default.
- W2986533144 hasRelatedWork W3162021601 @default.
- W2986533144 hasRelatedWork W84225925 @default.
- W2986533144 hasRelatedWork W2117217695 @default.
- W2986533144 isParatext "false" @default.
- W2986533144 isRetracted "false" @default.
- W2986533144 magId "2986533144" @default.
- W2986533144 workType "article" @default.