Matches in SemOpenAlex for { <https://semopenalex.org/work/W4221101703> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W4221101703 endingPage "915" @default.
- W4221101703 startingPage "915" @default.
- W4221101703 abstract "Creating optimal logic mining is strongly dependent on how the learning data are structured. Without optimal data structure, intelligence systems integrated into logic mining, such as an artificial neural network, tend to converge to suboptimal solution. This paper proposed a novel logic mining that integrates supervised learning via association analysis to identify the most optimal arrangement with respect to the given logical rule. By utilizing Hopfield neural network as an associative memory to store information of the logical rule, the optimal logical rule from the correlation analysis will be learned and the corresponding optimal induced logical rule can be obtained. In other words, the optimal logical rule increases the chances for the logic mining to locate the optimal induced logic that generalize the datasets. The proposed work is extensively tested on a variety of benchmark datasets with various performance metrics. Based on the experimental results, the proposed supervised logic mining demonstrated superiority and the least competitiveness compared to the existing method." @default.
- W4221101703 created "2022-04-03" @default.
- W4221101703 creator A5008474034 @default.
- W4221101703 creator A5027687642 @default.
- W4221101703 creator A5043688060 @default.
- W4221101703 creator A5058046014 @default.
- W4221101703 creator A5081762277 @default.
- W4221101703 date "2022-03-13" @default.
- W4221101703 modified "2023-10-18" @default.
- W4221101703 title "Supervised Learning Perspective in Logic Mining" @default.
- W4221101703 cites W1597286183 @default.
- W4221101703 cites W1867460137 @default.
- W4221101703 cites W1979057819 @default.
- W4221101703 cites W2000480518 @default.
- W4221101703 cites W2023367191 @default.
- W4221101703 cites W2045794350 @default.
- W4221101703 cites W2146497925 @default.
- W4221101703 cites W2167277498 @default.
- W4221101703 cites W2332312474 @default.
- W4221101703 cites W2515951848 @default.
- W4221101703 cites W2560310602 @default.
- W4221101703 cites W2732603270 @default.
- W4221101703 cites W2746591438 @default.
- W4221101703 cites W2945062549 @default.
- W4221101703 cites W2965695689 @default.
- W4221101703 cites W2986318790 @default.
- W4221101703 cites W2989688479 @default.
- W4221101703 cites W3005273924 @default.
- W4221101703 cites W3030391949 @default.
- W4221101703 cites W3031946898 @default.
- W4221101703 cites W3097765205 @default.
- W4221101703 cites W3122585411 @default.
- W4221101703 cites W3140473065 @default.
- W4221101703 cites W3162950604 @default.
- W4221101703 cites W3171141561 @default.
- W4221101703 cites W3182818576 @default.
- W4221101703 cites W3185050929 @default.
- W4221101703 cites W3186901041 @default.
- W4221101703 doi "https://doi.org/10.3390/math10060915" @default.
- W4221101703 hasPublicationYear "2022" @default.
- W4221101703 type Work @default.
- W4221101703 citedByCount "27" @default.
- W4221101703 countsByYear W42211017032022 @default.
- W4221101703 countsByYear W42211017032023 @default.
- W4221101703 crossrefType "journal-article" @default.
- W4221101703 hasAuthorship W4221101703A5008474034 @default.
- W4221101703 hasAuthorship W4221101703A5027687642 @default.
- W4221101703 hasAuthorship W4221101703A5043688060 @default.
- W4221101703 hasAuthorship W4221101703A5058046014 @default.
- W4221101703 hasAuthorship W4221101703A5081762277 @default.
- W4221101703 hasBestOaLocation W42211017031 @default.
- W4221101703 hasConcept C119857082 @default.
- W4221101703 hasConcept C124101348 @default.
- W4221101703 hasConcept C13280743 @default.
- W4221101703 hasConcept C154945302 @default.
- W4221101703 hasConcept C159423971 @default.
- W4221101703 hasConcept C185798385 @default.
- W4221101703 hasConcept C193524817 @default.
- W4221101703 hasConcept C202444582 @default.
- W4221101703 hasConcept C205649164 @default.
- W4221101703 hasConcept C2779382394 @default.
- W4221101703 hasConcept C33923547 @default.
- W4221101703 hasConcept C41008148 @default.
- W4221101703 hasConcept C50644808 @default.
- W4221101703 hasConceptScore W4221101703C119857082 @default.
- W4221101703 hasConceptScore W4221101703C124101348 @default.
- W4221101703 hasConceptScore W4221101703C13280743 @default.
- W4221101703 hasConceptScore W4221101703C154945302 @default.
- W4221101703 hasConceptScore W4221101703C159423971 @default.
- W4221101703 hasConceptScore W4221101703C185798385 @default.
- W4221101703 hasConceptScore W4221101703C193524817 @default.
- W4221101703 hasConceptScore W4221101703C202444582 @default.
- W4221101703 hasConceptScore W4221101703C205649164 @default.
- W4221101703 hasConceptScore W4221101703C2779382394 @default.
- W4221101703 hasConceptScore W4221101703C33923547 @default.
- W4221101703 hasConceptScore W4221101703C41008148 @default.
- W4221101703 hasConceptScore W4221101703C50644808 @default.
- W4221101703 hasIssue "6" @default.
- W4221101703 hasLocation W42211017031 @default.
- W4221101703 hasOpenAccess W4221101703 @default.
- W4221101703 hasPrimaryLocation W42211017031 @default.
- W4221101703 hasRelatedWork W1807063 @default.
- W4221101703 hasRelatedWork W2300990538 @default.
- W4221101703 hasRelatedWork W2312627516 @default.
- W4221101703 hasRelatedWork W2347219288 @default.
- W4221101703 hasRelatedWork W2375331201 @default.
- W4221101703 hasRelatedWork W2460889004 @default.
- W4221101703 hasRelatedWork W3133447443 @default.
- W4221101703 hasRelatedWork W3206204311 @default.
- W4221101703 hasRelatedWork W3216756544 @default.
- W4221101703 hasRelatedWork W1713199382 @default.
- W4221101703 hasVolume "10" @default.
- W4221101703 isParatext "false" @default.
- W4221101703 isRetracted "false" @default.
- W4221101703 workType "article" @default.