Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386985462> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4386985462 endingPage "258" @default.
- W4386985462 startingPage "243" @default.
- W4386985462 abstract "Success of an Enterprise depends on the quality of the data available in its backup. The data need to be consistent, error-free and maintain its integrity irrespective of any threats in any form. Quality data is aka clean data helps in the decision-making process of the Enterprise. However due to multiple entry points available in populating a database, there exists the problem of duplication data, which is one form of dirty data. This duplication data has to be removed without compromising the privacy and integrity of the data. The automated computing algorithms have been limited in its capability for the tasks such as labelling, filtering, translating or transcribing data etc. Hence, crowd sourcing famously referred as human computing are used as supplement to identify and eliminate the duplications available in data. However, it is important to understand that the human crowd is prone in error making and it is essential to choose a qualified crowd that does less error. Because the data labelled by the human crowd is fed to the Neural networks further to identify and eliminate the duplication. This paper provides a conceptual framework that aims to identify the duplicate data through qualified crowds and remove the identified duplication using neural network techniques. The framework explains how to qualify the best crowd to do work, so that clean data is assured with the help of ANNs." @default.
- W4386985462 created "2023-09-24" @default.
- W4386985462 creator A5024720688 @default.
- W4386985462 creator A5031422055 @default.
- W4386985462 creator A5042670440 @default.
- W4386985462 creator A5050009758 @default.
- W4386985462 date "2023-01-01" @default.
- W4386985462 modified "2023-10-18" @default.
- W4386985462 title "QCNN—A Conceptual Framework for Duplicate Removal in Big Data Using Quality Assured Crowd Sourcing Coupled with Neural Networks" @default.
- W4386985462 cites W1492799879 @default.
- W4386985462 cites W2056748234 @default.
- W4386985462 cites W2169036685 @default.
- W4386985462 cites W2203592669 @default.
- W4386985462 cites W2782136875 @default.
- W4386985462 cites W2789642357 @default.
- W4386985462 cites W2955774022 @default.
- W4386985462 cites W2997590552 @default.
- W4386985462 cites W3149037989 @default.
- W4386985462 cites W3182920176 @default.
- W4386985462 cites W4213337105 @default.
- W4386985462 cites W4229007738 @default.
- W4386985462 cites W4241604631 @default.
- W4386985462 cites W4243134132 @default.
- W4386985462 cites W4285411606 @default.
- W4386985462 cites W4292341621 @default.
- W4386985462 cites W4301398439 @default.
- W4386985462 cites W4315836287 @default.
- W4386985462 doi "https://doi.org/10.1007/978-3-031-37164-6_17" @default.
- W4386985462 hasPublicationYear "2023" @default.
- W4386985462 type Work @default.
- W4386985462 citedByCount "0" @default.
- W4386985462 crossrefType "book-chapter" @default.
- W4386985462 hasAuthorship W4386985462A5024720688 @default.
- W4386985462 hasAuthorship W4386985462A5031422055 @default.
- W4386985462 hasAuthorship W4386985462A5042670440 @default.
- W4386985462 hasAuthorship W4386985462A5050009758 @default.
- W4386985462 hasConcept C111472728 @default.
- W4386985462 hasConcept C111919701 @default.
- W4386985462 hasConcept C124101348 @default.
- W4386985462 hasConcept C127413603 @default.
- W4386985462 hasConcept C136764020 @default.
- W4386985462 hasConcept C138885662 @default.
- W4386985462 hasConcept C154945302 @default.
- W4386985462 hasConcept C176217482 @default.
- W4386985462 hasConcept C21547014 @default.
- W4386985462 hasConcept C24756922 @default.
- W4386985462 hasConcept C2522767166 @default.
- W4386985462 hasConcept C2779530757 @default.
- W4386985462 hasConcept C2780945871 @default.
- W4386985462 hasConcept C32587265 @default.
- W4386985462 hasConcept C33762810 @default.
- W4386985462 hasConcept C38652104 @default.
- W4386985462 hasConcept C41008148 @default.
- W4386985462 hasConcept C50644808 @default.
- W4386985462 hasConcept C62230096 @default.
- W4386985462 hasConcept C77088390 @default.
- W4386985462 hasConcept C98045186 @default.
- W4386985462 hasConceptScore W4386985462C111472728 @default.
- W4386985462 hasConceptScore W4386985462C111919701 @default.
- W4386985462 hasConceptScore W4386985462C124101348 @default.
- W4386985462 hasConceptScore W4386985462C127413603 @default.
- W4386985462 hasConceptScore W4386985462C136764020 @default.
- W4386985462 hasConceptScore W4386985462C138885662 @default.
- W4386985462 hasConceptScore W4386985462C154945302 @default.
- W4386985462 hasConceptScore W4386985462C176217482 @default.
- W4386985462 hasConceptScore W4386985462C21547014 @default.
- W4386985462 hasConceptScore W4386985462C24756922 @default.
- W4386985462 hasConceptScore W4386985462C2522767166 @default.
- W4386985462 hasConceptScore W4386985462C2779530757 @default.
- W4386985462 hasConceptScore W4386985462C2780945871 @default.
- W4386985462 hasConceptScore W4386985462C32587265 @default.
- W4386985462 hasConceptScore W4386985462C33762810 @default.
- W4386985462 hasConceptScore W4386985462C38652104 @default.
- W4386985462 hasConceptScore W4386985462C41008148 @default.
- W4386985462 hasConceptScore W4386985462C50644808 @default.
- W4386985462 hasConceptScore W4386985462C62230096 @default.
- W4386985462 hasConceptScore W4386985462C77088390 @default.
- W4386985462 hasConceptScore W4386985462C98045186 @default.
- W4386985462 hasLocation W43869854621 @default.
- W4386985462 hasOpenAccess W4386985462 @default.
- W4386985462 hasPrimaryLocation W43869854621 @default.
- W4386985462 hasRelatedWork W2303336068 @default.
- W4386985462 hasRelatedWork W2513414733 @default.
- W4386985462 hasRelatedWork W2748020237 @default.
- W4386985462 hasRelatedWork W2765703370 @default.
- W4386985462 hasRelatedWork W2803870934 @default.
- W4386985462 hasRelatedWork W2945404560 @default.
- W4386985462 hasRelatedWork W3047947009 @default.
- W4386985462 hasRelatedWork W3089657651 @default.
- W4386985462 hasRelatedWork W3105912816 @default.
- W4386985462 hasRelatedWork W3125747398 @default.
- W4386985462 isParatext "false" @default.
- W4386985462 isRetracted "false" @default.
- W4386985462 workType "book-chapter" @default.