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Enterprise risk early warning method based on association analysis fp-tree algorithm

A technology of correlation analysis and risk early warning, applied in computing, data processing applications, instruments, etc., can solve the problems of long time for information acquisition, update, processing and analysis, time error of enterprise risk early warning, affecting the timeliness of risk early warning, etc. Achieve the effect of improving early warning accuracy, lowering threshold and reducing time error

Active Publication Date: 2022-07-08
LINEWELL SOFTWARE +1
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Problems solved by technology

[0009] The early warning of the existing technology is analyzed from the single index data analysis or the overall index data, and due to the lack of basic professional knowledge of the enterprise, the high dimensionality of enterprise data and the large amount of enterprise data, and the current situation of enterprise risk early warning in the information acquisition, update, processing It takes a long time to analyze and analyze, and dynamic processing cannot be realized, which seriously affects the timeliness of risk early warning, which largely causes serious time errors in enterprise risk early warning

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  • Enterprise risk early warning method based on association analysis fp-tree algorithm
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  • Enterprise risk early warning method based on association analysis fp-tree algorithm

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Embodiment Construction

[0059] The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings.

[0060] The invention provides an enterprise risk early warning method based on the association analysis FP-Tree algorithm, comprising the following steps:

[0061] Step S1, according to the historical enterprise-related behavior data, analyze the scale and important basis for measuring the enterprise's risk status, and design a risk index system X={x 1 ,x 2 ,…,x i }, x i Indicates the name of the i-th indicator of the risk indicator system;

[0062] Step S2, according to the risk index system, use big data analysis to form risk rules, that is, if the value of one or more indicators is equal to a predetermined value or a predetermined interval value, it is considered that the enterprise may have corresponding risks, and the risk rule set B is obtained:

[0063]

[0064] where X k is a subset of indicator system X; risk k for X k Corr...

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Abstract

The invention relates to an enterprise risk early warning method based on an association analysis FP-Tree algorithm. The enterprise index data set is constructed, and then the cross-entropy-interval method is used for binning and chi-square test correlation screening indicators, and finally, the association analysis FP-Tree algorithm is used for enterprise risk warning. The invention can not only analyze the enterprise risk from the single index data, but also can mine the enterprise risk by combining two or more index data, and mine the existing risks of the enterprise more comprehensively.

Description

technical field [0001] The invention belongs to the field of enterprise risk early warning, in particular to an enterprise risk early warning method based on an association analysis FP-Tree algorithm. Background technique [0002] As a comprehensive social activity that integrates various aspects of economy, technology, management, organization, etc., corporate activities have uncertainties in all aspects. Enterprise risk early warning is an effective means to establish a risk assessment system, and then carry out risk pre-control, resolve the occurrence of risks, and minimize the losses caused by risks. Carrying out risk analysis and management of enterprise activities, preventing and resolving the occurrence of risks, and controlling the losses caused by risks to a minimum have become one of the important measures to ensure the business activities of enterprises and create maximum benefits. The enterprise risk early warning index system is a yardstick and an important bas...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06
CPCG06Q10/0635G06Q10/06393
Inventor 吴志雄甘建武李晓琼黄鼎
Owner LINEWELL SOFTWARE
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