The Application of Fuzzy Association Rule Mining in E-Commerce Information System Mining

Qing Duan,Yu Wang,Jian Li

doi:10.4028/www.scientific.net/aef.6-7.631

Abstract

Data mining in e-commerce application is information into business knowledge in the process. First of all, the object of clear data mining to determine the theme of business applications; around the commercial main data collection source, and clean up the data conversion, integration processing technology, and selects the appropriate data mining algorithms to build data mining models. This paper presents the application of fuzzy association rule mining in E-commerce information system mining. Experimental data sets prove that the proposed algorithm is effective and reasonable.

Highlights

E-commerce is the use of digital electronic means business on the Internet for data exchange and business operational activities carried out
With the wide application of the rapid development of database technology and the Internet, e-commerce is more powerful vitality, e-commerce website every day there may be millions of online transactions, accumulated more and more business data on the server the current database system can achieve efficient data entry, query, statistics and other functions, but can not find the rules of the relationship that exists in the database can not predict the future development trend based on available data, using data mining technology can be effectively found a large number of regularity of the data behind the data hidden inside knowledge and means to eliminate the data explosion but knowledge poverty "of the phenomenon
Association rule mining process consists of two phases: the first phase of data collection must first find all the frequent group (Frequent Itemsets), the second stage to generate association rules from these frequent group (Association, the Rules)

Summary

Introduction

E-commerce is the use of digital electronic means business on the Internet for data exchange and business operational activities carried out. With the wide application of the rapid development of database technology and the Internet, e-commerce is more powerful vitality, e-commerce website every day there may be millions of online transactions, accumulated more and more business data on the server the current database system can achieve efficient data entry, query, statistics and other functions, but can not find the rules of the relationship that exists in the database can not predict the future development trend based on available data, using data mining technology can be effectively found a large number of regularity of the data behind the data hidden inside knowledge and means to eliminate the data explosion but knowledge poverty "of the phenomenon. Apriori algorithm is one of the most influential frequent itemsets mining Boolean association rules algorithms. This paper presents the application of fuzzy association rule mining in E-commerce information system mining.

Information Technology for Manufacturing Systems III

Summary