Ijtimoiy tarmoq ma'lumotlarini chuqur o'rganish yordamida tahlil qilish

Nafisa Yusupova; Bozorov Rustam Ravshan o'g'li; Ro'ziyeva S.S.; Normatova Sarvinoz; Müller Klaus

doi:10.52015/ty.2018.8.12.1

Article · 2018

Ijtimoiy tarmoq ma'lumotlarini chuqur o'rganish yordamida tahlil qilish

Blockchain in the banking sector: a case of Uzbekistan

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20.1006/ty/2018/i12/91300927Uzbek

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Authors

Nafisa Yusupova ORCID 0000-0002-0017-8680 (opens in a new tab)
Islom Karimov nomidagi Toshkent davlat texnika universiteti
Bozorov Rustam Ravshan o'g'lino linked profile
Qozon federal universiteti
Ro'ziyeva S.S.ORCID 0000-0002-0016-3630 (opens in a new tab)
Sharof Rashidov nomidagi Samarqand davlat universiteti
Normatova Sarvinozno linked profile
Ташкентский государственный технический университет имени Ислама Каримова
Müller Klausno linked profile
Moskva davlat universiteti

Abstract

Ushbu maqolada «Ijtimoiy tarmoq ma'lumotlarini chuqur o'rganish yordamida tahlil qilish» mavzusi tahlil qilingan. Tadqiqotda statistik tahlil va modellashtirish usullaridan foydalanilgan. Olingan natijalar chuqur o'rganish sohasida amaliy ahamiyatga ega.

Keywords

Bibliographic details

DRI: 20.1006/ty/2018/i12/91300927
Work type: Article
Journal: Texnika yulduzlariISSN 2181-0311
Volume and issue: No. 12
Pages: 1–11
Published: 11 December 2018
Language: Uzbek
External DOI: 10.52015/ty.2018.8.12.1 (opens in a new tab)
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:48, version 2

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Excluding self-citations: 13

Excluding self-citations

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References

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

24 entries13 matched1 under review10 external

1.
Komilov I.Y., Normatova D.J. Aqlli uy tizimi uchun chuqur o'rganish asosida tavsiya tizimini yaratish // TATU ilmiy-uslubiy jurnali. – 2017. – №4. – B. 13–19.
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Qosimov, O. R., Toshpo'latov, T. K., & Markayev, A. D. (2013). Ijtimoiy tarmoq ma'lumotlarini klasterlash algoritmlari yordamida tahlil qilish. TATU: fan, ta'lim va innovatsiya, 1(1), 1–4.
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Kamolova G.S., Olimov S.O., Normatova S.I. Moliya sohasida narsalar internetini qoʼllash // Texnika yulduzlari. – 2017. – №8. – B. 1–7.
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Kamolova, G. S., Yunusov, B. T., & Gʼaniyev, I. Sh. (2017). Применение больших данных в текстильной промышленноти. TDTU ilmiy-uslubiy jurnali, 7–16.
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Valiyeva, N. I., Sultonov, V. I., Kamolova, G. S., et al. (2016). Neft qoldiqlari asosida mineral oʼgʼitlar olish texnologiyasi. TDTU: fan, taʼlim va innovatsiya, 7(1), 45–50.
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Kamolova, G. S. (2018). Bank axborot tizimi uchun konvolyutsion neyron tarmoq asosida tasvirlarni segmentatsiyalash. Toshkent.
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Xolmatov O.M., Normatova N.D. Mustaqillik yillarida Xorazmda savdo aloqalari tarixi // Fan-sportga. – 2015. – №4. – B. 13–17. https://nationaldri.uz/20.2004/sport/2015/i4/27716850
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Қосимов О.Р., Эшматова С.А., Маматова Г.И. Тиббий тасвирларни тасодифий ўрмон алгоритми ёрдамида таҳлил қилиш // ТАТУ: фан, таълим ва инноватсия. – 2014. – №2. – Б. 1–7.
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Ushinskiy K.D. Tanlangan pedagogik asarlar. – Toshkent: O'qituvchi, 1968. – 380 b.
External source
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Xudoyberdiyev B.G'. Qishloq xo'jaligi sohasida tabiiy tilni qayta ishlashni qo'llash. – Toshkent: Adabiyot uchqunlari, 2008. – 280 b.
External source
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Tanaka H., Brown A., Anderson R. (2004). Renewable energy transition in Central Asia in developing countries. World Development, 83, 585–971. https://doi.org/10.1016/j.worlddev.2004.288389
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Kamolova G.S., Ahmadjonova G.T. Big data in tourism: a case of Uzbekistan. – Toshkent: Innovatsiya, 2018. – 209 b. https://nationaldri.uz/20.2004/monografiya/b2018/30324377
MatchedExact by DRI
24.
Rossi F., Silva R. (2006). Language learning motivation in higher education. Computers & Education, 129, 605–996. DOI: 10.1016/j.compedu.2006.692060
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[1] 1.
Komilov I.Y., Normatova D.J. Aqlli uy tizimi uchun chuqur o'rganish asosida tavsiya tizimini yaratish // TATU ilmiy-uslubiy jurnali. – 2017. – №4. – B. 13–19.
MatchedFuzzy match, S = 1.00→ Aqlli uy tizimi uchun chuqur o'rganish asosida tavsiya tizimini yaratish

[2] 2.
Garcia L., Martin C. (2013). Machine learning methods for credit scoring. Sustainability, 14, 690–914.
External source

[3] 3.
Rahimova S.B., Tanaka H., Zokirova N.S., va boshq. Ta`lim sohasida bolkcheynni qo`llash // TATU: fan, ta`lim va innovatsiya. – 2012. – №2. – B. 1–10.
MatchedFuzzy match, S = 0.96

[4] 4.
Mamatov M.I., Valiyev G'.J., Hamroyev R.I., va boshq. IoT tarmog'i uchun fuzzy logika asosida anomaliyalarni aniqlash // TATU ilmiy-uslubiy jurnali. – 2014. – №4. – B. 1–9.
MatchedFuzzy match, S = 1.00

[5] 5.
Qosimov, O. R., Toshpo'latov, T. K., & Markayev, A. D. (2013). Ijtimoiy tarmoq ma'lumotlarini klasterlash algoritmlari yordamida tahlil qilish. TATU: fan, ta'lim va innovatsiya, 1(1), 1–4.
MatchedFuzzy match, S = 1.00

[6] 6.
Ғаниев Р.Ш. Применение искусственного интеллекта в малого бизнеса: фан номзоди (ПҳД) дисс. автореферати. – Тошкент, 2015. – 105 б.
Under review

[7] 7.
Петрова А.С. Применение больших данных в банковской системы. – М.: Наука, 2004. – 224 с.
External source

[8] 8.
Kamolova, G. S. (2016). Appliaction of convolutional neural networks for anomaly detection. TDTU: fan, ta'lim va innovatsiya, 6(1), 6–11. URL: https://nationaldri.uz/20.1006/tdtufti/2016/v6_i1/97087172
MatchedExact by DRI

[9] 9.
Wang L., Johnson M., Silva R. (2018). Deep residual learning for image recognition. Energy Policy, 79, 409–939.
External source

[10] 10.
Kamolova G.S., Olimov S.O., Normatova S.I. Moliya sohasida narsalar internetini qoʼllash // Texnika yulduzlari. – 2017. – №8. – B. 1–7.
MatchedFuzzy match, S = 1.00

[11] 11.
Smith J. (2010). Language learning motivation in higher education. The Lancet, 159, 849–919. DOI: 10.1016/S0140-6736.2010.981857
External source

[12] 12.
Kamolova, G. S., Yunusov, B. T., & Gʼaniyev, I. Sh. (2017). Применение больших данных в текстильной промышленноти. TDTU ilmiy-uslubiy jurnali, 7–16.
MatchedFuzzy match, S = 1.00

[13] 13.
Valiyeva, N. I., Sultonov, V. I., Kamolova, G. S., et al. (2016). Neft qoldiqlari asosida mineral oʼgʼitlar olish texnologiyasi. TDTU: fan, taʼlim va innovatsiya, 7(1), 45–50.
MatchedFuzzy match, S = 0.98

[14] 14.
Ushinskiy K.D. Tanlangan pedagogik asarlar. – Toshkent: O'qituvchi, 1968. – 380 b.
External source

[15] 15.
Kamolova, G. S. (2018). Bank axborot tizimi uchun konvolyutsion neyron tarmoq asosida tasvirlarni segmentatsiyalash. Toshkent.
MatchedFuzzy match, S = 1.00

[16] 16.
Nazarova, R. M., Tursunov, J. Sh., Nurmatova, I. E., et al. (2018). The history of education in Central Asia (case of ukhara). Tarix va jamiyat, 9–18. – DRI 20.2002/tj/2018/i1/38745398
MatchedExact by DRI

[17] 17.
Xolmatov O.M., Normatova N.D. Mustaqillik yillarida Xorazmda savdo aloqalari tarixi // Fan-sportga. – 2015. – №4. – B. 13–17. https://nationaldri.uz/20.2004/sport/2015/i4/27716850
MatchedExact by DRI

[18] 18.
Қосимов О.Р., Эшматова С.А., Маматова Г.И. Тиббий тасвирларни тасодифий ўрмон алгоритми ёрдамида таҳлил қилиш // ТАТУ: фан, таълим ва инноватсия. – 2014. – №2. – Б. 1–7.
MatchedFuzzy match, S = 1.00

[19] 19.
Ushinskiy K.D. Tanlangan pedagogik asarlar. – Toshkent: O'qituvchi, 1968. – 380 b.
External source

[20] 20.
Xudoyberdiyev B.G'. Qishloq xo'jaligi sohasida tabiiy tilni qayta ishlashni qo'llash. – Toshkent: Adabiyot uchqunlari, 2008. – 280 b.
External source

[21] 21.
Müller K., Nguyen T. (2001). Clinical outcomes of metformin therapy in type 2 diabetes: evidence from panel data. Agricultural Water Management, 88, 114–962. DOI: 10.1016/j.agwat.2001.690608
External source

[22] 22.
Tanaka H., Brown A., Anderson R. (2004). Renewable energy transition in Central Asia in developing countries. World Development, 83, 585–971. https://doi.org/10.1016/j.worlddev.2004.288389
External source

[23] 23.
Kamolova G.S., Ahmadjonova G.T. Big data in tourism: a case of Uzbekistan. – Toshkent: Innovatsiya, 2018. – 209 b. https://nationaldri.uz/20.2004/monografiya/b2018/30324377
MatchedExact by DRI

[24] 24.
Rossi F., Silva R. (2006). Language learning motivation in higher education. Computers & Education, 129, 605–996. DOI: 10.1016/j.compedu.2006.692060
External source

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