FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2080931119> ?p ?o ?g. }

• W2080931119 endingPage "381" @default.
• W2080931119 startingPage "367" @default.
• W2080931119 abstract "Abstract Analyzing a large amount of data often consumes extensive computational resources and execution time. However, sometime all data features do not equally contribute to the end results. Thus, it is plausible to identify the major contributing features and use them as representatives of the data. Other features with low contribution can be eliminated to reduce the time/resource consumption in data analysis. One of the promising application domains for such a feature selection process is bioinformatics. The need for dimension reduction, which is the process to reduce unnecessary features from the original data, arises because biological data can be massive, with tens of thousands of features to be explored. The objective of this study is to design an effective algorithm that can selectively remove irrelevant dimensions from data describing complex biological processes while preserving the semantics of the original data. This research proposes the adoption of the Artificial Bee Colony (ABC) as a novel method for data dimension reduction in classification problems. ABC, an efficient heuristic method based on swarm intelligence, is used to select the optimal subset of dimensions from the original high-dimensional data while retaining a subset that satisfies the defined objective. The k-Nearest Neighbor (kNN) method is then used for fitness evaluation within the ABC framework. In this research, ABC and kNN have been modified and bundled together to create an effective dimension reduction method. The proposed algorithm is validated in two distinct application domains: Gene expression analysis, and autistic behaviors study. The experimental results exhibit good solution quality as well as good computational performance." @default.
• W2080931119 created "2016-06-24" @default.
• W2080931119 creator A5014448123 @default.
• W2080931119 creator A5033488028 @default.
• W2080931119 creator A5056489192 @default.
• W2080931119 creator A5081332440 @default.
• W2080931119 date "2013-09-01" @default.
• W2080931119 modified "2023-09-30" @default.
• W2080931119 title "Reducing bioinformatics data dimension with ABC-kNN" @default.
• W2080931119 cites W1523989055 @default.
• W2080931119 cites W1570312421 @default.
• W2080931119 cites W1918043561 @default.
• W2080931119 cites W1967932897 @default.
• W2080931119 cites W1975228824 @default.
• W2080931119 cites W1986373014 @default.
• W2080931119 cites W2001808571 @default.
• W2080931119 cites W2003452708 @default.
• W2080931119 cites W2008574913 @default.
• W2080931119 cites W2030363461 @default.
• W2080931119 cites W2045449942 @default.
• W2080931119 cites W2046196952 @default.
• W2080931119 cites W2053186076 @default.
• W2080931119 cites W2058232500 @default.
• W2080931119 cites W2068431618 @default.
• W2080931119 cites W2087684630 @default.
• W2080931119 cites W2097193191 @default.
• W2080931119 cites W2097474065 @default.
• W2080931119 cites W2100495367 @default.
• W2080931119 cites W2102544846 @default.
• W2080931119 cites W2109363337 @default.
• W2080931119 cites W2115358726 @default.
• W2080931119 cites W2119387367 @default.
• W2080931119 cites W2121921208 @default.
• W2080931119 cites W2122111042 @default.
• W2080931119 cites W2123172482 @default.
• W2080931119 cites W2126214330 @default.
• W2080931119 cites W2131273085 @default.
• W2080931119 cites W2137317896 @default.
• W2080931119 cites W2137462201 @default.
• W2080931119 cites W2145635005 @default.
• W2080931119 cites W2158488875 @default.
• W2080931119 cites W2158830869 @default.
• W2080931119 cites W2159400887 @default.
• W2080931119 cites W2160696406 @default.
• W2080931119 cites W2164836704 @default.
• W2080931119 cites W2342204193 @default.
• W2080931119 cites W2089720651 @default.
• W2080931119 doi "https://doi.org/10.1016/j.neucom.2012.01.045" @default.
• W2080931119 hasPublicationYear "2013" @default.
• W2080931119 type Work @default.
• W2080931119 sameAs 2080931119 @default.
• W2080931119 citedByCount "31" @default.
• W2080931119 countsByYear W20809311192013 @default.
• W2080931119 countsByYear W20809311192014 @default.
• W2080931119 countsByYear W20809311192015 @default.
• W2080931119 countsByYear W20809311192016 @default.
• W2080931119 countsByYear W20809311192017 @default.
• W2080931119 countsByYear W20809311192018 @default.
• W2080931119 countsByYear W20809311192019 @default.
• W2080931119 countsByYear W20809311192020 @default.
• W2080931119 countsByYear W20809311192021 @default.
• W2080931119 countsByYear W20809311192022 @default.
• W2080931119 crossrefType "journal-article" @default.
• W2080931119 hasAuthorship W2080931119A5014448123 @default.
• W2080931119 hasAuthorship W2080931119A5033488028 @default.
• W2080931119 hasAuthorship W2080931119A5056489192 @default.
• W2080931119 hasAuthorship W2080931119A5081332440 @default.
• W2080931119 hasConcept C114614502 @default.
• W2080931119 hasConcept C124101348 @default.
• W2080931119 hasConcept C154945302 @default.
• W2080931119 hasConcept C33676613 @default.
• W2080931119 hasConcept C33923547 @default.
• W2080931119 hasConcept C41008148 @default.
• W2080931119 hasConceptScore W2080931119C114614502 @default.
• W2080931119 hasConceptScore W2080931119C124101348 @default.
• W2080931119 hasConceptScore W2080931119C154945302 @default.
• W2080931119 hasConceptScore W2080931119C33676613 @default.
• W2080931119 hasConceptScore W2080931119C33923547 @default.
• W2080931119 hasConceptScore W2080931119C41008148 @default.
• W2080931119 hasLocation W20809311191 @default.
• W2080931119 hasOpenAccess W2080931119 @default.
• W2080931119 hasPrimaryLocation W20809311191 @default.
• W2080931119 hasRelatedWork W2072215404 @default.
• W2080931119 hasRelatedWork W2347219288 @default.
• W2080931119 hasRelatedWork W2348097614 @default.
• W2080931119 hasRelatedWork W2354822586 @default.
• W2080931119 hasRelatedWork W2358841807 @default.
• W2080931119 hasRelatedWork W2366221835 @default.
• W2080931119 hasRelatedWork W2370319911 @default.
• W2080931119 hasRelatedWork W2969723784 @default.
• W2080931119 hasRelatedWork W3107474891 @default.
• W2080931119 hasRelatedWork W3149424243 @default.
• W2080931119 hasVolume "116" @default.
• W2080931119 isParatext "false" @default.
• W2080931119 isRetracted "false" @default.
• W2080931119 magId "2080931119" @default.
• W2080931119 workType "article" @default.