ANALYSIS OF THE PROBLEMS OF INCREASING THE EFFICIENCY OF ANALYSIS OF BIG WEB DATA IN THE BUSINESS SPHERE

Authors

  • Maliienko Stanislav
  • Selivorstova Tatyana

DOI:

https://doi.org/10.34185/1991-7848.itmm.2023.01.084

Keywords:

Big Data, data mining, influx, analyst.

Abstract

Now the problem of analyzing big web data is becoming more and more complex. The article describes some of the main challenges that companies face when analyzing large amounts of data on the web. First, the volume of data and its influx pose a challenge for businesses to process it quickly in real time. Secondly, the quality of the data is not always high enough and it needs to be cleaned before analysis. Finally, the need to improve the performance of data analysis algorithms means that companies must use the latest technologies and data analysis methods in order to ensure fast and efficient decision-making based on the results obtained.

References

Vukovic, M. (2020). Big data analytics for web data: A comprehensive review. Information Processing & Management, 57(6), 1-21.

Zeng, Y., Yin, Z., Zhang, S., & Zhou, K. (2020). Efficient Data Analysis for Web User Behavior Using a Batch Processing Framework. Journal of Ambient Intelligence and Humanized Computing, 11(5), 1781-1790.

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Published

2024-04-03

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