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Application of Top-k policy-making negative-sequence mode in client's insuring behavior analyzing

A behavior analysis and negative sequence technology, applied in data processing applications, instruments, finance, etc., can solve the problems of not finding the top-k negative sequence pattern mining method, evaluating the success rate of recommended insurance, and not finding it

Inactive Publication Date: 2017-06-30
QILU UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

They all solve the problem of setting the minimum support threshold, but these methods only consider top-k positive sequence pattern mining. We have not found any research on top-k negative sequence pattern mining methods, nor have we found a combination of positive and negative sequences. Research on Model Support Evaluation and Recommended Insurance Success Rate

Method used

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  • Application of Top-k policy-making negative-sequence mode in client's insuring behavior analyzing
  • Application of Top-k policy-making negative-sequence mode in client's insuring behavior analyzing
  • Application of Top-k policy-making negative-sequence mode in client's insuring behavior analyzing

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specific Embodiment approach

[0077] The present invention is further limited below in conjunction with embodiment, but not limited thereto.

Embodiment

[0079] The application of a top-k decision-making negative sequence model in the analysis of customer insurance purchase behavior, the specific steps include:

[0080] (1) From the obtained sequence database, use the top-k positive sequence mining algorithm to mine the k positive sequence patterns with the largest support, that is, the order in which customers purchase insurance most frequently within a certain period of time;

[0081] (2) In the setting step (1), there are t positive sequence patterns with the number of elements greater than 1 in the k positive sequence patterns obtained by mining, t≤k, corresponding to t positive sequence patterns to generate t seed sets respectively, using The idea of ​​the e-NSP algorithm generates the negative candidate sequences corresponding to the generated t positive sequence patterns, and puts the negative candidate sequences generated corresponding to the t positive sequence patterns into the corresponding t seed sets; the nega...

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Abstract

The invention relates to the application of Top-k policy-making negative-sequence mode in the client's insuring behavior analyzing, which proposes a dual support degree calculation formula and can not only flexibly adjust the formula according to the interest inclination of an insurance company from a positive sequence mode to a negative sequence mode but also can select a negative sequence mode with the most policy-making performance. The invention proposes an algorithm capable of digging the top-k policy-making negative-sequence mode at high efficiency. The algorithm only needs the amount of the negative sequence mode a user desires to obtain or rather the k value without the configuration of any smallest parameter. According to the invention, in the analyzing process of a client's insuring behavior, the positive sequence mode and the negative sequence mode can be combined as a reference so that it is possible to find out an insurance recommendation order that is most likely to be accepted by the user. As a result, when the user purchases the insurance, the application of the invention could recommend the insurance products that are more likely to be purchased by other clients. Therefore, the transaction chances with the user are increased and the economic gains of the insurance company are increased.

Description

technical field [0001] The invention relates to the application of top-k decision-making negative sequence patterns in the analysis of customer insurance purchase behavior, and belongs to the application technical field of decision-making negative sequence patterns. Background technique [0002] From its birth to the present, commercial insurance has become an important means of risk management in the modern economy and society, an important part of the modern financial system and social security system, and an important market-oriented mechanism for the government to improve management efficiency. Especially in developed countries, insurance has penetrated into all aspects of social production and life, providing people with insurance services "from the cradle to the grave". For example, in developed countries, most parents will purchase various types of child insurance for their children, including accidental injury insurance, health insurance, education savings insurance,...

Claims

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Application Information

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IPC IPC(8): G06Q40/08
CPCG06Q40/08
Inventor 董祥军邱萍
Owner QILU UNIV OF TECH
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