Ushbu maqolada Big Data va Predictive Analytics usullari yordamida korxona moliyaviy risklarni bashoratqilish va boshqarish metodlari tahlil qilinadi. Tadqiqot doirasida katta hajmdagi strukturalangan va strukturasiz ma’lumotlar,iqtisodiy ko‘rsatkichlar, tranzaksiya ma’lumotlari va bozor signallari integratsiyalangan. Mashinaviy o‘rganish modellari(Random Forest, XGBoost, chuqur o‘rganish) orqali kredit risk, likvidlik risk va bozordagi tebranish risklari prognozlandi.Model natijalari korxonalarning risk darajasini aniqlashda yuqori aniqlik ko‘rsatdi va oldindan ogohlantirish tizimlariqurish imkonini berdi. Xulosa sifatida, Big Data va Predictive Analytics integratsiyasi korxona moliyaviy barqarorliginita’minlashda strategik ahamiyat kasb qiladi.
| Mualliflar | Karimov , Xondamir |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashr sanasi | 2025-10-01 |
| Jild | 1 |
| Son | 10 |
| Betlar | 159-165 |
| Til | Ingliz |
| DOI | 10.5281/zenodo.17452655 |
DOI: 10.5281/zenodo.17452655 · Maqolaning asl sahifasi
Big Data, Predictive Analytics, moliyaviy risk, korxona risk boshqaruvi, mashinaviy o‘rganish, kredit risk, likvidlik risk, bozor risk, AI, katta ma’lumotlar, prognozlash modeli, real vaqtda tahlil, operatsion risk, moliyaviy barqarorlik, oldindan ogohlantirish.
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