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Customer classification method and system based on data mining

A technology of data mining and classification methods, applied in relational databases, database models, data processing applications, etc., can solve the problems of redundant data calculation time, huge amount of information data, and many index attributes, achieving low labor intensity and high efficiency. , the effect of simple structure

Inactive Publication Date: 2018-02-23
GUANGZHOU UNIVERSITY
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AI Technical Summary

Problems solved by technology

In data mining technology, due to the large number of selected index attributes and the huge amount of information data, problems such as data redundancy or long calculation time may occur

Method used

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  • Customer classification method and system based on data mining
  • Customer classification method and system based on data mining
  • Customer classification method and system based on data mining

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Embodiment Construction

[0033] The present application will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] Take catering customers as an example, such as figure 1 As shown, the present embodiment is based on data mining, and the method for classifying customers includes the following steps:

[0035] S1. Requirements definition is mainly to determine the target catering customers and target data according to the requirements of catering enterprises, so as to mine the target data.

[0036] S2. Collect data, and use data cleaning, data integration, data conversion, attribute reduction, and principal component analysis to preprocess the catering customer data. Collect the required target catering customer information data. The collected data mainly comes from databases, multiple files, etc.

[0037] Data cleaning is mainly to "clean up" data by filling in missing values, smoothing noise data, identifying or deleting outliers, and so...

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Abstract

The invention discloses a customer classification method and system based on data mining. The method comprises the following steps of 1, determining target customer objects and target data; 2, collecting the data, and preprocessing the customer data by means of data cleaning, data integration, data conversion, attribute reduction and principal component analysis; 3, adopting and combining a K-means algorithm and a Hopfield neural network algorithm to mine the customer data, and obtaining classification results of different customer groups; 4, analyzing and evaluating the classification resultsof the step 3, and if the classification results are optimal, displaying a mining result, otherwise executing the step 3 again. By means of the customer classification method and system based on datamining, the customer data can be effectively and accurately classified so that enterprises can timely and accurately master customer resources and changing tendencies, and the customer resources areeffectively managed.

Description

technical field [0001] The invention relates to the fields of database information retrieval and information decision-making, in particular to a method and a system for mining data information to obtain different customer group categories. Background technique [0002] Today's era is the Internet era, and the management model between catering companies and catering customers has also undergone essential changes. With the increasing informatization and digitalization of products and services, the expectations of catering customers are also changing rapidly. Catering customers not only require the ability to Obtaining services anytime and anywhere also requires the ability to obtain products or services that are more suitable for oneself, higher quality, more personalized and of higher value, which requires further upgrading of the catering customer management model of catering enterprises. [0003] Due to the rapid development of network communication technology, all kinds of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02G06Q50/12
CPCG06F16/285G06F16/215G06Q30/0201G06Q50/12
Inventor 吴羽黄文恺林静旭
Owner GUANGZHOU UNIVERSITY
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