Data Mining of an On-line Survey – A Market Research Application
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.
KeywordsOnline Survey Data Mining Technique Multiple Correspondence Analysis Potential Buyer Symmetrical Method
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