Research on the Application of Big Data Technology in the Investigation of Economic

DOI: https://doi.org/10.62517/jbdc.202401321

Author(s)

Tian Xinrui*

Affiliation(s)

Law School of Belarusian State University, Minsk, Belarus *Corresponding Author.

Abstract

With the advent of the era of big data, economic crimes have presented many new characteristics and manifestations. Faced with massive capital data information, traditional judicial accounting inspection methods have been difficult to adapt. With the development of information science such as big data technology, artificial intelligence and blockchain technology, in the practice of judicial accounting, it is necessary to change and upgrade the thinking and way of big data, and realize the organic combination of the traditional mode of inspection means and the big data mode, so as to adapt to the work requirements of preventing and combating economic crimes under the new situation. In order to adapt to the development of The Times and meet the needs of work, judicial accounting inspection must use big data technology, and it is urgent to carry out judicial accounting big data application research. Only by excavating the most comprehensive evidentiary information to the greatest extent and in the shortest time can we take the initiative to effectively combat economic crimes, protect the legitimate economic interests of the masses, and promote the healthy and stable development of the economy. Based on this, this paper analyzes the impact of big data on economic crime investigation based on the characteristics of economic crime under the background of big data, and studies the operation mode, operation mechanism and application path of big data analysis and application in economic crime investigation again, so as to further promote the application of big data in economic crime investigation. This paper analyzes and studies the relevant problems of economic crime investigation under big data, aiming to provide guidance and help for practical work.

Keywords

Big Data; Economic Crime; Economic Crime Investigation; Machine Made

References

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