A review of visualization techniques for duplicate detection in cancer datasets
As clinical cancer research increasingly depends on large, diverse datasets, concerns about data duplication have grown. Duplicates can undermine data integrity, skew analytical results, and reduce the reproducibility of studies. This review explores how visualization can play a critical role in ide...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
Science and Information Organization
2025
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| Online Access: | http://eprints.utem.edu.my/id/eprint/29146/2/00282291020251218272384.pdf http://eprints.utem.edu.my/id/eprint/29146/ https://thesai.org/Downloads/Volume16No9/Paper_58-A_Review_of_Visualization_Techniques_for_Duplicate_Detection.pdf |
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