Trinity College Dublin, Department of Computer Science
Tsymbal, Alexey. 'Feature Extraction for Classification in Knowledge'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-2003-32, 2003, pp7
Computer Science Technical Report TCD-CS-2003-32
Dimensionality reduction is a very important step in the data mining
process. In this paper, we consider feature extraction for classification tasks as a
technique to overcome problems occurring because of “the curse of
dimensionality”. We consider three different eigenvector-based feature
extraction approaches for classification. The summary of obtained results
concerning the accuracy of classification schemes is presented and the issue of
search for the most appropriate feature extraction method for a given data set is
considered. A decision support system to aid in the integration of the feature
extraction and classification processes is proposed. The goals and requirements
set for the decision support system and its basic structure are defined. The
means of knowledge acquisition needed to build up the proposed system are
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