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.
Original language | English |
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Pages (from-to) | 300-305 |
Number of pages | 6 |
Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
Volume | 3 |
Publication status | Published - 1 Dec 2002 |
Event | 2002 IEEE International Conference on Systems, Man and Cybernetics - Yasmine Hammamet, Tunisia Duration: 6 Oct 2002 → 9 Oct 2002 |
Keywords
- Association rules
- Market-basket
- Mixture density
- PCA
ASJC Scopus subject areas
- Control and Systems Engineering
- Hardware and Architecture