Customer classification method and system thereof based on transaction data

A technology of transaction data and classification methods, applied in data processing applications, instruments, calculations, etc., can solve problems such as high computational complexity and inability to handle large data, and achieve the effect of improving the effect of clustering and improving the actual use value

Active Publication Date: 2017-03-22
SHENZHEN UNIV
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  • Description
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Problems solved by technology

[0004] In view of this, the object of the present invention is to provide a customer classification method based on transaction data and its system, aiming to solve the problem that the traditional method cannot handle the current big data because the calculation complexity is too high

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  • Customer classification method and system thereof based on transaction data
  • Customer classification method and system thereof based on transaction data
  • Customer classification method and system thereof based on transaction data

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Embodiment Construction

[0050] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0051] A customer classification method based on transaction data provided by the present invention will be described in detail below.

[0052] see figure 1 , is a flowchart of a customer classification method based on transaction data in an embodiment of the present invention.

[0053] In step S1, transaction data is collected from the retail enterprise transaction database.

[0054] In this embodiment, the transaction data includes: membership card number, transaction date, transaction time, commodity name, commodity category name and sales amount.

[0055] In this embodiment, some information...

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Abstract

The invention belongs to the technical field of data mining, and provides a customer classification method and a system thereof based on transaction data. The method comprises steps: transaction data are acquired from a retail enterprise transaction database; the acquired transaction data are pre-processed, and the transaction data after pre-processing are coded according to layers; according to layer information after coding, a customer purchase tree is built for each customer; all built customer purchase trees are clustered until a clustering center does not change or the change is smaller than a preset threshold, and a customer classification result is acquired. The technical scheme provided by the invention can efficiently and quickly process large amounts of data, and the problem that the traditional method is over high in computational complexity and can not process the current large data can be solved.

Description

technical field [0001] The invention relates to the field of data mining, in particular to a method and system for classifying customers based on transaction data. Background technique [0002] Customer classification based on transaction data has an important application in the retail industry. It analyzes customers' purchasing behavior through the commodities purchased by customers, and then provides retail enterprises with business decision-making and marketing strategies. In the process of purchasing commodities, a customer usually purchases multiple commodities at one time, and the commodities purchased by different customers may include different commodities, but may also have purchased commodities. Therefore, the purpose of customer classification based on transaction data is to find out customers with similar purchase behaviors, and analyze the combination of products frequently purchased by these customers from the retail records, which is conducive to product displ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/00
CPCG06Q30/016
Inventor 陈小军明勇张文斌彭思黄哲学张超
Owner SHENZHEN UNIV
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