Client transaction behavior analyzing method

A behavior analysis and customer technology, applied in marketing, equipment, character and pattern recognition, etc., can solve problems such as inability to accurately determine customer categories, inability to accurately know the production and operation of enterprises, etc.

Inactive Publication Date: 2018-06-29
SOUTHWEST UNIV
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Problems solved by technology

[0003] In the prior art, the RFM model is generally used for analysis. However, this analysis method only analyzes the purchase time, the total number of purchases, and the total transaction amount. This analysis method cannot accurately classify customers, and thus cannot accurately determine customers. category, so that the production and operation of the enterprise cannot be accurately known

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  • Client transaction behavior analyzing method
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Embodiment Construction

[0060] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0061] A method for analyzing customer transaction behavior provided by the present invention includes

[0062] Collect customer transaction data and sort the transaction data by time;

[0063] Extract the attribute features representing the purchase time, transaction frequency and transaction amount from the transaction data, and normalize the purchase time, transaction frequency and transaction amount;

[0064] Mining the hidden attributes of the attribute features, and obtaining the scores of the attribute features on the hidden attributes, and determining the number of clusters according to the scores;

[0065] Based on the score value, the genetic algorithm is used to determine the final clustering result, and the customer classification is obtained. Through the above method, various attributes of customer transactions can be accurately analyzed, and the accurac...

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Abstract

The invention provides a client transaction behavior analyzing method which comprises the following steps: acquiring the client transaction data and sorting the transaction data according to time; extracting the attributive characters representing the purchasing time, the transaction frequency and the transaction amount from the transaction data, and performing normalization processing on the purchasing time, the transaction frequency and the transaction amount; digging the hidden attributes of the attributive characters, acquiring the score quantity of the attributive characters on the hiddenattributes, and determining the cluster number according to the score quantity; processing with a genetic algorithm based on the score quantity; and determining the final clustering result to obtainthe client class. Through the method, multiple attributes of client transaction can be accurately analyzed, the accuracy of client classification can be effectively improved, and accurate data supportis provided for the production marketing of an enterprise.

Description

technical field [0001] The invention relates to a method, in particular to a client transaction behavior analysis method. Background technique [0002] With the rapid growth of the economy, the competition in all walks of life is becoming increasingly fierce. For financial industries such as banks, which are closely related to the economy, how to survive in the fierce competition environment has become the most concerned issue at present. With the development of information technology, the competitive environment of enterprises has undergone tremendous changes, and more and more enterprises are transforming from a product-centric business model to a customer-centric business model. Enterprises gradually realize that grasping customers means grasping performance. The more they can meet the needs of customers in a timely manner, the more they can meet the needs of the market, and the more they can stand out from the competition in the industry. At present, most financial comp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0201G06F18/23213
Inventor 张美阳张自力
Owner SOUTHWEST UNIV
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