Bank axborot tizimi uchun blokcheyn texnologiyasi asosida tavsiya tizimini yaratish

Valiyev G'ayrat Jahongir o'g'li; Rasulova B.Sh.

doi:10.52008/mxa.2026.13.4.1

Article · 2026

Bank axborot tizimi uchun blokcheyn texnologiyasi asosida tavsiya tizimini yaratish

Big data in small business: a case of Uzbekistan

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20.1003/mxa/2026/v13_i4/16977515Uzbek

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Authors

Valiyev G'ayrat Jahongir o'g'li ORCID 0000-0002-0015-3133 (opens in a new tab)
Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti
Rasulova B.Sh.no linked profile
TATU

Abstract

Ushbu maqolada «Bank axborot tizimi uchun blokcheyn texnologiyasi asosida tavsiya tizimini yaratish» mavzusi tahlil qilingan. Maqolada xorijiy va mahalliy tajriba qiyosiy tahlil qilingan. Muallif tomonidan bank axborot tizimi bo'yicha takliflar va tavsiyalar ishlab chiqilgan.

Keywords

Bibliographic details

DRI: 20.1003/mxa/2026/v13_i4/16977515
Work type: Article
Journal: Muhammad al-Xorazmiy avlodlariISSN 2181-0176
Volume and issue: Vol. 13, No. 4
Pages: 1–12
Published: 12 April 2026
Language: Uzbek
External DOI: 10.52008/mxa.2026.13.4.1 (opens in a new tab)
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 17:50, version 2

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References

Sources cited by this work and how they were matched to works in the registry.

11 entries5 matched0 under review6 external

1.
Silva R., Rossi F. (2000). Blockchain applications in public administration. Energy Policy, 128, 890–925. https://doi.org/10.1016/j.enpol.2000.935344
External source
2.
Qosimov, O. R., Aliyev, Sh. M., Xolmatova, R. N., et al. (2018). Применение искусственного интеллекта в туризма. Muhammad al-Xorazmiy avlodlari, 11–15. https://nationaldri.uz/20.1003/11349587
MatchedExact by DRI→ Применение искусственного интеллекта в туризма
3.
Chen Y., Schmidt P. (2023). Soil salinity mapping using remote sensing data: a systematic review. Energy Policy, 164, 236–935. DOI: 10.1016/j.enpol.2023.847667
External source
4.
Jabborov, B. S., & Abdurahmonova, Sh. G'. (2023). Sensor ma'lumotlarini tasodifiy o'rmon algoritmi yordamida tahlil qilish. In «Tibbiyotning dolzarb muammolari» mavzusidagi xalqaro ilmiy-amaliy konferensiya (pp. 67–69). Toshkent.
MatchedFuzzy match, S = 1.00
5.
Kim S. Qishloq xo'jaligi sohasida narsalar internetini qo'llash. – Toshkent: Iqtisodiyot, 2021. – 287 b.
External source
6.
Valiyev G'.J., To'xtayeva N.F., Rahimova S.B. Masofaviy ta'lim platformasi xavfsizligini ta'minlashda kompyuter ko'rishi imkoniyatlari // TATU: fan, ta'lim va innovatsiya. – 2014. – №3. – B. 1–11. – DRI 20.1003/tatufti/2014/v2_i3/24225440
MatchedExact by DRI
7.
Кузнецова Е.А. Применение интернета вещей в туризма // Педагогика. – 1991. – № 12. – С. 36–135.
External source
8.
Кузнецова Е.А. Применение больших данных в банковской системы. – М.: Наука, 1995. – 408 с.
External source
9.
Sharipov, K. M., & Ibragimova, Y. J. (2025). Elektron hukumat tizimi uchun tasodifiy o'rmon aloritmi asosida nutqni tanib olish. In «Tilshunoslik va adabiyotshunoslikning dolzarb masalalari» mavzusidagi xalqaro ilmiy-amaliy konferensiya (pp. 257–259). Toshkent.
MatchedFuzzy match, S = 1.00
10.
Wang L., Nguyen T. (2000). Deep residual learning for image recognition. IEEE Access, 82, 681–998. DOI: 10.1109/ACCESS.2000.647615
External source
11.
Qosimov, O. R. (2026). Aqlli uy tizimi uchun tasodifiy o'rmon algoritmi asosida trafikni prognozlash. TATU: fan, ta'lim va innovatsiya, 14(1), 1–7.
MatchedFuzzy match, S = 1.00

Citing works

Works in the registry that cite this work, newest first.

Ta'lim sohasida kompyuter ko'rishini qo'llash (Surxondaryo viloyati misolida)
Authors: Rasulov Yusuf SherzodovichTATU axborotnomasi
DRI20.1003/tatuax/2026/i4/84014752 Open on nationaldri.uzArticle1views0downloads
Year2026
Citations0

[1] 1.
Silva R., Rossi F. (2000). Blockchain applications in public administration. Energy Policy, 128, 890–925. https://doi.org/10.1016/j.enpol.2000.935344
External source

[2] 2.
Qosimov, O. R., Aliyev, Sh. M., Xolmatova, R. N., et al. (2018). Применение искусственного интеллекта в туризма. Muhammad al-Xorazmiy avlodlari, 11–15. https://nationaldri.uz/20.1003/11349587
MatchedExact by DRI→ Применение искусственного интеллекта в туризма

[3] 3.
Chen Y., Schmidt P. (2023). Soil salinity mapping using remote sensing data: a systematic review. Energy Policy, 164, 236–935. DOI: 10.1016/j.enpol.2023.847667
External source

[4] 4.
Jabborov, B. S., & Abdurahmonova, Sh. G'. (2023). Sensor ma'lumotlarini tasodifiy o'rmon algoritmi yordamida tahlil qilish. In «Tibbiyotning dolzarb muammolari» mavzusidagi xalqaro ilmiy-amaliy konferensiya (pp. 67–69). Toshkent.
MatchedFuzzy match, S = 1.00

[5] 5.
Kim S. Qishloq xo'jaligi sohasida narsalar internetini qo'llash. – Toshkent: Iqtisodiyot, 2021. – 287 b.
External source

[6] 6.
Valiyev G'.J., To'xtayeva N.F., Rahimova S.B. Masofaviy ta'lim platformasi xavfsizligini ta'minlashda kompyuter ko'rishi imkoniyatlari // TATU: fan, ta'lim va innovatsiya. – 2014. – №3. – B. 1–11. – DRI 20.1003/tatufti/2014/v2_i3/24225440
MatchedExact by DRI

[7] 7.
Кузнецова Е.А. Применение интернета вещей в туризма // Педагогика. – 1991. – № 12. – С. 36–135.
External source

[8] 8.
Кузнецова Е.А. Применение больших данных в банковской системы. – М.: Наука, 1995. – 408 с.
External source

[9] 9.
Sharipov, K. M., & Ibragimova, Y. J. (2025). Elektron hukumat tizimi uchun tasodifiy o'rmon aloritmi asosida nutqni tanib olish. In «Tilshunoslik va adabiyotshunoslikning dolzarb masalalari» mavzusidagi xalqaro ilmiy-amaliy konferensiya (pp. 257–259). Toshkent.
MatchedFuzzy match, S = 1.00

[10] 10.
Wang L., Nguyen T. (2000). Deep residual learning for image recognition. IEEE Access, 82, 681–998. DOI: 10.1109/ACCESS.2000.647615
External source

[11] 11.
Qosimov, O. R. (2026). Aqlli uy tizimi uchun tasodifiy o'rmon algoritmi asosida trafikni prognozlash. TATU: fan, ta'lim va innovatsiya, 14(1), 1–7.
MatchedFuzzy match, S = 1.00