Maintaining Academic Integrity in Programming: Locality-Sensitive Hashing and Recommendations

• Tác giả chính: Oscar Karnalim (Tác giả)
• Định dạng: Sách
• Được phát hành: MDPI AG, 2023-01-01T00:00:00Z.
• Những chủ đề: article
• Truy cập trực tuyến: Connect to this object online.

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...