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A comparative study on feature selection and adaptive strategies for email foldering

Email foldering is a challenging problem mainly due to its high dimensionality and dynamic nature. This work presents a comparison of several feature extraction/ selection and adaptive strategies aimed at coping with these two main difficulties. To this end, several studies have been carried out using the ENRON email dataset in order to test how different configuration settings for feature extraction/selection and adapting processes can affect the classification performance.