Abstract

Enterprises have established a number of business processing systems and business websites according to their own characteristics and business needs, such as e-commerce websites and shopping websites. Over time, a large number of sales transaction data and customer purchase information have been generated, but no useful information has been generated stored in the database. Therefore, the management and decision-making levels of enterprises try to get useful information from huge and complex data. With the development of network technology and database, data mining technology has emerged. Nowadays, data mining technology has become one of the most concerned technologies of e-commerce. It can select appropriate data mining methods according to the characteristics of commodities, carry out effective statistical analysis and decision support for data, predict and analyze future market trends, greatly improve the business intelligence analysis of e-commerce enterprises, and make enterprises have greater advantages in market competition. This paper explains some important methods related to data mining and designs a data mining system. One of the systems can help e-commerce decision-makers analyze and predict data. Through experiments, it is concluded that the average absolute percentage errors of prediction data are 8.6% and 5.3%, respectively, with small errors and high accuracy. Second, make better recommendations for users. After investigation and analysis, the highest satisfaction has increased by 25% after using the system.

Highlights

  • IntroductionData mining can analyze a large number of data stored in enterprises to find different customers or market divisions and analyze consumers’ preferences and behaviors

  • The term knowledge discovery first appeared at the 11th International Conference on artificial intelligence

  • Data mining means the process of extracting useful information and knowledge from huge, incomplete, and messy information and transforming the extracted knowledge into definitions, models, laws, and other forms

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Summary

Introduction

Data mining can analyze a large number of data stored in enterprises to find different customers or market divisions and analyze consumers’ preferences and behaviors. It is of great significance for e-commerce enterprises engaged in online transactions. In order to meet the needs of society, many companies have developed new data mining products. The emergence of these products makes the use of data mining technology more and more widely. It can be seen in many fields, and its application has achieved good results

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