In this paper we shall consider Kernel Discriminant Analysis as an innovative tool for supervised classification in a business vision as a marketing solution. The main idea we propose is the combined use of information complexity and bootstrap process which allows the user to overcome the open problems of such a technique as the kernel function choice and at the same time check the robustness of the rule found.
Liberati, C., Camillo, F. (2006). Kernel Discriminant Analysis and information complexity: advanced models for micro-data mining and micro-marketing solutions. In A. Zanasi, C.A. Brebbia, N. Ebecken (a cura di), Data Mining VII (pp. 115-122). WIT Transactions on Information and Communication Technologies [10.2495/DATA060121].
Kernel Discriminant Analysis and information complexity: advanced models for micro-data mining and micro-marketing solutions
Liberati, C;
2006
Abstract
In this paper we shall consider Kernel Discriminant Analysis as an innovative tool for supervised classification in a business vision as a marketing solution. The main idea we propose is the combined use of information complexity and bootstrap process which allows the user to overcome the open problems of such a technique as the kernel function choice and at the same time check the robustness of the rule found.
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