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

Qing Duan; Jian Li; Yu Wang

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

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Enterprise Information Management Performance Evaluation Based on Grey Fuzzy Theory
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Construction Search Engine Based on Formal Concept Analysis and Association Rule Mining
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The Application of Fuzzy Association Rule Mining in E-Commerce Information System Mining
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The Development of E-Commerce Recommendation System Based on Collaborative Filtering
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Using Rough Set to Construct the Enterprise Information Management System
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The Consultation System Design for the Yellow River Engineering Danger
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Information Assessment Model Based on Low-Carbon Theory
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HomeAdvanced Engineering ForumAdvanced Engineering Forum Vols. 6-7The Application of Fuzzy Association Rule Mining...

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

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.

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Periodical:

Advanced Engineering Forum (Volumes 6-7)

Pages:

631-635

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.6-7.631

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Online since:

September 2012

Authors:

Qing Duan, Jian Li, Yu Wang

Keywords:

Association Rule Mining, Data Mining (DM), E-Commerce (EC), Fuzzy Correlation

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Creative Commons CC BY 4.0

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