Qayta ishlash




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hadoop mapreduce orqali katta hajmli ma lumotni parallel qayta ishlash

REFERENCES


  1. Onay, Ceylan; Öztürk, Elif "A review of credit scoring research in the age of Big Data". Journal of Financial Regulation and Compliance. . 2018 – C.382–405.

  2. Muhammad Habib ur Rehman, Chee Sun Liew, Assad Abbas Prem Prakash Jayaraman, Teh Ying Wah, Samee U. Khan. Big Data Reduction Methods: A Survey. Data Sci. Eng. (2016)

  3. "Measuring the Business Value of Big Data | IBM Big Data & Analytics Hub". Www.ibmbigdatahub.com. 2021.

  4. . Kitchin, Rob; McArdle, Gavin. "What makes Big Data, Big Data? Exploring the characteristics of 26 datasets".2016 Big Data & Society. 3 (1):

  5. Алексеева И.Ю. Искусственный интеллект и рефлексия над знаниями. // ―Философия науки и техники‖: журнал 1991

№9, с. 44-53.




  1. Urazmatov, T.Q.,Nurmetova, B.B.,Kuzibayev, X.S. Analysis of big data processing technologies. IOP Conference Series: Materials Science and Engineering, 2020, 862(4), 042006.

  2. Urazmatov, T.Q.,Sh Kuzibayev, X. MapReduce and Apache spark: Technology analysis, advantages and disadvantages Journal of Physics: Conference Seriesthis link is disabled, 2022, 2373(5), 052008.

  3. Ilhombekovich, S.B.,Kuzibayev K.S.,Xakimovna, A.G. Calculation of Synaptic Weights in Neuroexpert Systems International Conference on Information Science and Communications Technologies: Applications, Trends and Opportunities, ICISCT 2021, 2021.


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