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Title: Market-basket analysis with principal component analysis : an exploration
Authors: Chiu, KSY
Chan, KCC 
Chung, KFL 
Luk, RWP 
Keywords: Data analysis
Data mining
Marketing data processing
Principal component analysis
Issue Date: 2002
Source: 2002 IEEE International Conference on Systems, Man and Cybernetics, Tunizia, 6-9 Oct. 2002, p. 6 How to cite?
Abstract: Market-basket analysis is a well-known business problem, which can be (partially) solved computationally using association rules, mined from transaction data to maximize cross-selling effects. Here, we model the market-basket analysis as a finite mixture density of human consumption behavior according to social and cultural events. This leads to the use of principle component analysis and possibly mixture density analysis of transaction data, which was not apparent before. We compare PCA and association rules mined from a set of benchmark transaction data, to explore similarities and differences between these two data exploration tools.
ISBN: 0-7803-7437-1
DOI: 10.1109/ICSMC.2002.1176057
Appears in Collections:Conference Paper

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