Maintaining Academic Integrity in Programming: Locality-Sensitive Hashing and Recommendations
Not many efficient similarity detectors are employed in practice to maintain academic integrity. Perhaps it is because they lack intuitive reports for investigation, they only have a command line interface, and/or they are not publicly accessible. This paper presents SSTRANGE, an efficient similarit...
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MDPI AG,
2023-01-01T00:00:00Z.
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A1234.567 |
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