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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Silva, A. L. & Cardoso, M. G. M. S. (2005). Predicting supermarket sales: the use of regression trees. Journal of Targeting, Measurement and Analysis for Marketing. 13 (3), 239-249
Exportar Referência (IEEE) 
A. L. Silva and M. M. Cardoso,  "Predicting supermarket sales: the use of regression trees", in Journal of Targeting, Measurement and Analysis for Marketing, vol. 13, no. 3, pp. 239-249, 2005
Exportar BibTeX 
@article{silva2005_1734875628916,
	author = "Silva, A. L. and Cardoso, M. G. M. S.",
	title = "Predicting supermarket sales: the use of regression trees",
	journal = "Journal of Targeting, Measurement and Analysis for Marketing",
	year = "2005",
	volume = "13",
	number = "3",
	doi = "10.1057/palgrave.jt.5740150",
	pages = "239-249",
	url = "https://link.springer.com/article/10.1057%2Fpalgrave.jt.5740150"
}
Exportar RIS 
TY  - JOUR
TI  - Predicting supermarket sales: the use of regression trees
T2  - Journal of Targeting, Measurement and Analysis for Marketing
VL  - 13
IS  - 3
AU  - Silva, A. L.
AU  - Cardoso, M. G. M. S.
PY  - 2005
SP  - 239-249
SN  - 0967-3237
DO  - 10.1057/palgrave.jt.5740150
UR  - https://link.springer.com/article/10.1057%2Fpalgrave.jt.5740150
AB  - The performance of points of sale is influenced by multiple factors, including the characteristics of their external environment. The main focus of this study is the analysis of a supermarket chain store's external environment and its influence on the store's performance. Principal components analysis is used for data reduction of store attributes (eg visibility and accessibility). A regression tree is used for stores' sales prediction and clustering. The first tree branching divides smaller and larger stores. Factors like the stores' lack of visibility and heavy road traffic contribute especially to the decrease of sales in smaller stores. Factors like the availability of public transport and the absence of a specific competitor in the neighbourhood contribute to a better performance of larger points of sale. In addition to the insight it allowed concerning the performance of the existing stores, and notwithstanding some limitations (eg a static modelling approach is considered), the proposed tree model has been used successfully in predicting the performance of new stores.
ER  -