TAQSIMLASH MEXANIZMLARI ASOSIDA MA’LUMOTLARNI OPTIMAL SAQLASH UCHUN MASHINAVIY O’QITISH ALGORITMLARINI QO’LLASH

Akmal Axatov; Fayzullo Nazarov; Akbar Rashidov

Authors

Axatov Akmal Rustamovich Samarkand state university
Nazarov Fayzullo Maxmadiyarovich Samarkand state university
Rashidov Akbar Ergash o'g'li Samarkand state university

Keywords:

Taqsimlangan usullar, katta ma’lumotlar, ma’lumotlarning saqlashni optimallashtirish, mashinaviy o’qitish, ko‘p o‘zgaruvchili chiziqli regressiya, poliynomial regressiya

Abstract

Hozirda raqamli texnologiyalar va sun’iy intellekt mexanizmlari barcha sohalarga ta’lim, ijtimoiy-iqtisodiy, boshqaruv va ishlab chiqarish sohalarida keng joriy qilinmoqda. Internet tarmog’i orqali ma’lumotlar almashinuvi va ma’lumotlarni sifatli qayta ishlash bugungi kunda keskin darajada oshib bormoqda. Buning natijasida ma’lumotlarning hajmi keskin oshishi vujudga kelishiga sabab bo‘lmoqda. Ushbu katta ma’lumotlarni noan’anaviy usullar va tizimlar yordamida sifatli tez qayta ishlash masalasi dolzarb tadqiqot mavzularidan biriga aylanmoqda. Mazkur tadqiqot ishida internet tarmog’ida ishlaydigan ishida axborot tizimlarida ma’lumotlarni tezkor qayta ishlash va optimal saqlash uchun ma’lumotlar bazasidagi jadvallarni taqsimlashda mashinaviy o’qitish usullarini qo’llash masalasi yechilgan. Mashinaviy o’qitishning ko‘p o‘zgaruvchili chiziqli regressiya, Poliynomial regressiya algoritmlaridan foydalanish samaradorligi tahlil qilingan. Natijada mashinaviy o’qitish asosida ma’lumotlar bazasidagi jadvallarni taqsimlashning samaradorligi oshirilgan.

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