A comparative study of fuzzy target selection methods in direct marketing

J.M. Costa Sousa, da; U. Kaymak; S. Madeira

doi:10.1109/FUZZ.2002.1006683

A comparative study of fuzzy target selection methods in direct marketing

J.M. Costa Sousa, da
, U. Kaymak
, S. Madeira

Information Systems IE&IS

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

13 Citaten (Scopus)

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Target selection in direct marketing is an important data mining problem for which fuzzy modeling can be used. The paper compares several fuzzy modeling techniques applied to target selection based on recency, frequency and monetary value measures. The comparison uses cross validation applied to mailing campaigns of a charity organization

Originele taal-2	Engels
Titel	Proceedings of the 2002 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'02), 12-17 May 2002, Honolulu
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	1251-1256
ISBN van geprinte versie	0-7803-7280-8
DOI's	https://doi.org/10.1109/FUZZ.2002.1006683
Status	Gepubliceerd - 2002

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10.1109/FUZZ.2002.1006683

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title = "A comparative study of fuzzy target selection methods in direct marketing",

abstract = "Target selection in direct marketing is an important data mining problem for which fuzzy modeling can be used. The paper compares several fuzzy modeling techniques applied to target selection based on recency, frequency and monetary value measures. The comparison uses cross validation applied to mailing campaigns of a charity organization",

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A comparative study of fuzzy target selection methods in direct marketing. / Costa Sousa, da, J.M.; Kaymak, U.; Madeira, S.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'02), 12-17 May 2002, Honolulu. Piscataway: Institute of Electrical and Electronics Engineers, 2002. blz. 1251-1256.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AB - Target selection in direct marketing is an important data mining problem for which fuzzy modeling can be used. The paper compares several fuzzy modeling techniques applied to target selection based on recency, frequency and monetary value measures. The comparison uses cross validation applied to mailing campaigns of a charity organization

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A comparative study of fuzzy target selection methods in direct marketing

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