Research on the application of data mining technology in economic crime investigation

Kuisong Gao

doi:10.1117/12.2670487

1 June 2023 Research on the application of data mining technology in economic crime investigation

Kuisong Gao

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126252C (2023) https://doi.org/10.1117/12.2670487
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

The modern criminal behavior has entered a peak period, profound changes to the related investigation of criminal discretion and prevention strategy has brought the profound influence, reconnaissance departments at all levels should be under the guidance of information technology, combined with the new era of development needs to build a new working mechanism, pay attention to improve practice efficiency, meet the new era of development put forward new requirements to work. Nowadays, China's economic cases are faced with the problem that large quantities of data information cannot be efficiently used during the investigation, so researchers put forward the use of data mining technology to carry out association analysis on large quantities of information in practice. On fund-raising fraud crime at the same time, using the algorithm of dimension analysis, constructs a model of association rule mining for fund-raising fraud analysis, clear the hidden value theory, prompt information resources into reality investigation of valid evidence, eventually to meet the demand of the economic crime investigation work, improve the efficiency of the actual law enforcement investigation, security data mining technology, It can play a positive role in the investigation of economic crimes.

Citation Download Citation

Kuisong Gao "Research on the application of data mining technology in economic crime investigation", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126252C (1 June 2023); https://doi.org/10.1117/12.2670487

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available