Published September 24, 2026
| Version v1
Dataset
Open
TURLI MANBALARDAGI XORIJIY TALABALAR YOZUVLARINI IDENTIFIKATSIYALASH VA MOSLASHTIRISH ALGORITMI
Authors/Creators
- 1. Buxoro davlat texnika universiteti o'qituvchisi, i.f.f.d. (PhD)
Description
Xorijiy talabalarning ism-familiyalari turli manbalarda lotin va kirill yozuvlarida, turli transliteratsiya an’analariga ko‘ra yoziladi. Bu bir shaxsga tegishli yozuvlarni avtomatik moslashtirishni qiyinlashtiradi. Maqolada ism-familiyalarni yagona shaklga keltiruvchi normallashtirish qoidalari va Jaro–Winkler o‘xshashlik o‘lchoviga asoslangan moslashtirish algoritmi taklif etilgan. Sakkiz juftlikdan iborat nazorat to‘plamida normallashtirishdan keyin bir shaxsga tegishli juftliklar o‘xshashligi 0,964–1,000 oralig‘iga ko‘tarilgani, turli shaxslar esa 0,85 dan oshmagani ko‘rsatilgan.
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Additional details
References
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- 3.Winkler W.E. String comparator metrics and enhanced decision rules in the Fellegi-Sunter model of record linkage // Proceedings of the Section on Survey Research Methods. – American Statistical Association, 1990. – P. 354–359.
- 4.Elmagarmid A.K., Ipeirotis P.G., Verykios V.S. Duplicate record detection: A survey // IEEE Transactions on Knowledge and Data Engineering. – 2007. – Vol. 19, No. 1. – P. 1–16. – DOI: 10.1109/TKDE.2007.250581.
- 5.Christen P. Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection. – Berlin; Heidelberg: Springer, 2012. – 270 p. – DOI: 10.1007/978-3-642-31164-2.