Today, the volume of information is growing at a rapid pace and the process of giving opinions for each person using records from different databases is improving. By aggregating records from different databases into a single database by matching them, decision-making has the potential to optimize workflows as well as achieve cost-effectiveness. Such adjustments in Medicine, Online Sales, Employment Lists improve time and economic performance. For this reason, the methods, models and approaches of matching records in different databases are explored in this article.
| Mualliflar | Nurmamatov , M.Q. |
|---|---|
| Jurnal | Рақамли технологияларнинг назарий ва амалий масалалари |
| Nashr sanasi | 2024-12-30 |
| Jild | 7 |
| Son | 4 |
| Betlar | 20-26 |
| Til | Rus |
| DOI | 10.62132/ijdt.v7i4.215 |
DOI: 10.62132/ijdt.v7i4.215 · Maqolaning asl sahifasi
K-means, mashinaviy o‘qitish, bandlik, ma’lumotlar bazasi, bloklash, Q-gramm, ekspert baholash, K-means, machine learning, employment, database, blocking, Q-gram, expert assessment
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