FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4290769715> ?p ?o ?g. }

• W4290769715 endingPage "12" @default.
• W4290769715 startingPage "1" @default.
• W4290769715 abstract "With the rising usage of technology, a tremendous volume of data is being produced in the current scenario. This data contains a lot of personal data and may be given to third parties throughout the data mining process. Individual privacy is extremely difficult for the data owner to protect. Privacy-Preservation in Data Mining (PPDM) offers a solution to this problem. Encryption or anonymization have been recommended to preserve privacy in existing research. But encryption has high computing costs, and anonymization may drastically decrease the utility of data. This paper proposed a privacy-preserving strategy based on dimensionality reduction and feature selection. The proposed strategy is based on dimensionality reduction and feature selection that is difficult to reverse. The objective of this paper is to propose a perturbation-based privacy-preserving technique. Here, random projection and principal component analysis are utilized to alter the data. The main reason for this is that the dimension reduction combined with feature selection would cause the records to be perturbed more efficiently. The hybrid approach picks relevant features, decreases data dimensionality, and reduces training time, resulting in improved classification performance as measured by accuracy, kappa statistics, mean absolute error and other metrics. The proposed technique outperforms all other approaches in terms of classification accuracy increasing from 63.13 percent to 68.34 percent, proving its effectiveness in detecting cardiovascular illness. Even in its reduced form, the approach proposed here ensures that the dataset's classification accuracy is improved." @default.
• W4290769715 created "2022-08-09" @default.
• W4290769715 creator A5019909434 @default.
• W4290769715 creator A5035288030 @default.
• W4290769715 creator A5050940035 @default.
• W4290769715 creator A5072734714 @default.
• W4290769715 date "2022-08-09" @default.
• W4290769715 modified "2023-09-30" @default.
• W4290769715 title "Big Data Privacy Preservation Using Principal Component Analysis and Random Projection in Healthcare" @default.
• W4290769715 cites W1064431294 @default.
• W4290769715 cites W1871330174 @default.
• W4290769715 cites W1964784132 @default.
• W4290769715 cites W2010043809 @default.
• W4290769715 cites W2053903880 @default.
• W4290769715 cites W2089497633 @default.
• W4290769715 cites W2131715540 @default.
• W4290769715 cites W2152117417 @default.
• W4290769715 cites W2160553465 @default.
• W4290769715 cites W2188333987 @default.
• W4290769715 cites W2340503673 @default.
• W4290769715 cites W2548757038 @default.
• W4290769715 cites W2804992248 @default.
• W4290769715 cites W2905425764 @default.
• W4290769715 cites W2936012384 @default.
• W4290769715 cites W2939865804 @default.
• W4290769715 cites W2967268087 @default.
• W4290769715 cites W2997565628 @default.
• W4290769715 cites W3009093510 @default.
• W4290769715 cites W3103187360 @default.
• W4290769715 cites W3126019276 @default.
• W4290769715 cites W3134486771 @default.
• W4290769715 cites W3204632903 @default.
• W4290769715 cites W4214714145 @default.
• W4290769715 doi "https://doi.org/10.1155/2022/6402274" @default.
• W4290769715 hasPublicationYear "2022" @default.
• W4290769715 type Work @default.
• W4290769715 citedByCount "0" @default.
• W4290769715 crossrefType "journal-article" @default.
• W4290769715 hasAuthorship W4290769715A5019909434 @default.
• W4290769715 hasAuthorship W4290769715A5035288030 @default.
• W4290769715 hasAuthorship W4290769715A5050940035 @default.
• W4290769715 hasAuthorship W4290769715A5072734714 @default.
• W4290769715 hasBestOaLocation W42907697151 @default.
• W4290769715 hasConcept C111030470 @default.
• W4290769715 hasConcept C11413529 @default.
• W4290769715 hasConcept C121332964 @default.
• W4290769715 hasConcept C123201435 @default.
• W4290769715 hasConcept C124101348 @default.
• W4290769715 hasConcept C148483581 @default.
• W4290769715 hasConcept C148730421 @default.
• W4290769715 hasConcept C154945302 @default.
• W4290769715 hasConcept C184509293 @default.
• W4290769715 hasConcept C202444582 @default.
• W4290769715 hasConcept C20556612 @default.
• W4290769715 hasConcept C27438332 @default.
• W4290769715 hasConcept C2777036070 @default.
• W4290769715 hasConcept C33676613 @default.
• W4290769715 hasConcept C33923547 @default.
• W4290769715 hasConcept C38652104 @default.
• W4290769715 hasConcept C41008148 @default.
• W4290769715 hasConcept C57493831 @default.
• W4290769715 hasConcept C62520636 @default.
• W4290769715 hasConcept C70518039 @default.
• W4290769715 hasConcept C73555534 @default.
• W4290769715 hasConcept C75684735 @default.
• W4290769715 hasConceptScore W4290769715C111030470 @default.
• W4290769715 hasConceptScore W4290769715C11413529 @default.
• W4290769715 hasConceptScore W4290769715C121332964 @default.
• W4290769715 hasConceptScore W4290769715C123201435 @default.
• W4290769715 hasConceptScore W4290769715C124101348 @default.
• W4290769715 hasConceptScore W4290769715C148483581 @default.
• W4290769715 hasConceptScore W4290769715C148730421 @default.
• W4290769715 hasConceptScore W4290769715C154945302 @default.
• W4290769715 hasConceptScore W4290769715C184509293 @default.
• W4290769715 hasConceptScore W4290769715C202444582 @default.
• W4290769715 hasConceptScore W4290769715C20556612 @default.
• W4290769715 hasConceptScore W4290769715C27438332 @default.
• W4290769715 hasConceptScore W4290769715C2777036070 @default.
• W4290769715 hasConceptScore W4290769715C33676613 @default.
• W4290769715 hasConceptScore W4290769715C33923547 @default.
• W4290769715 hasConceptScore W4290769715C38652104 @default.
• W4290769715 hasConceptScore W4290769715C41008148 @default.
• W4290769715 hasConceptScore W4290769715C57493831 @default.
• W4290769715 hasConceptScore W4290769715C62520636 @default.
• W4290769715 hasConceptScore W4290769715C70518039 @default.
• W4290769715 hasConceptScore W4290769715C73555534 @default.
• W4290769715 hasConceptScore W4290769715C75684735 @default.
• W4290769715 hasLocation W42907697151 @default.
• W4290769715 hasOpenAccess W4290769715 @default.
• W4290769715 hasPrimaryLocation W42907697151 @default.
• W4290769715 hasRelatedWork W162023102 @default.
• W4290769715 hasRelatedWork W2089497633 @default.
• W4290769715 hasRelatedWork W2141406155 @default.
• W4290769715 hasRelatedWork W2599424341 @default.
• W4290769715 hasRelatedWork W2606853126 @default.
• W4290769715 hasRelatedWork W2790862734 @default.
• W4290769715 hasRelatedWork W2938845360 @default.
• W4290769715 hasRelatedWork W3015962327 @default.

• next