An Apriori-based social security service association rule mining and recommending device and method

Abstract

The invention discloses an Apriori-based social security service association rule mining and recommending device and method. an acquisition module is used for obtaining required related data from related data as analysis data; A social security service association rule module is used for, based on the acquired business log information, and personal state information, constructing an Apriori model,obtaining an association relationship between personal attribute items and service handling items through model analysis, generating a social security service association rule, storing the association rule in a social security service association rule base, continuously optimizing model parameters by adopting model evaluation indexes, and improving the precision of the model; a Prediction moduleis used for, based on the social security service association rule base, predicting business which is possibly handled by an insured person, recommending a prediction result of the business to business handling personnel. capabilities of advanced perception, dynamic analysis and pre-judgment on service appeals of the service object are formed, and the working efficiency and quality of the businesshandling personnel are improved, so that personalized, accurate and active services are provided for the service object.

Description

technical field [0001] The invention relates to the technical field of computer applications, in particular to an Apriori-based social security business association rule mining and recommendation device and method. Background technique [0002] The current social insurance business management and social insurance services are still a passive business handling and passive service model. This outdated service model has become a difficulty and pain point that restricts the improvement of service levels. Lacking the ability to accurately perceive individual needs and service experience, failing to accurately grasp individual behavior characteristics and business status, it is impossible to provide more personalized and proactive services for service objects. At the same time, a large amount of data has accumulated in the field of social security. These data are a valuable resource for scientific decision-making, effective management, and serving the society. From the current dat...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides an Apriori-based social insurance business association rule mining and recommendation device and method, which solves the problems of too many choices of insured persons and long queuing time, and realizes the prediction of insurance participation by generating social insurance business association rules future business

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