In this work we apply several data mining techniques that give us deep insight into knowledge extraction from a marketing survey addressed to the potential buyers of an university gift shop. The techniques are classified as symmetrical and non-symmetrical. An advocation for such combination is given as conclusion.
CITATION STYLE
Fernández-Aguirre, K., Landaluce, M. I., Martín, A., & Modroño, J. I. (2008). Data mining of an on-line survey - A market research application. In Studies in Classification, Data Analysis, and Knowledge Organization (pp. 183–191). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-540-78246-9_22
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