A formal concept analysis approach for web usage mining

Authors:
Baoyao Zhou;Siu Cheung Hui;Kuiyu Chang
Affiliations:
School of Computer Engineering, Nanyang Technological University, Singapore;School of Computer Engineering, Nanyang Technological University, Singapore;School of Computer Engineering, Nanyang Technological University, Singapore
Venue:
Intelligent information processing II
Year:
2004

Citing 5
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Abstract

Formal Concept Analysis (FCA), which is based on ordered lattice theory, is applied to mine association rules from web logs. The discovered knowledge (association rules) can then be used for online applications such as web recommendation and personalization. Experiments showed that FCA generated 60% fewer rules than Apriori, and the rules are comparable in quality according to three objective measures.