DocumentCode :
2916408
Title :
A comparative study on feature selection and adaptive strategies for email foldering
Author :
Carmona-Cejudo, José M. ; Castillo, Gladys ; Baena-García, Manuel ; Morales-Bueno, Rafael
Author_Institution :
Dipt. Lenguajes y Cienc. de la Comput., Univ. de Malaga, Malaga, Spain
fYear :
2011
fDate :
22-24 Nov. 2011
Firstpage :
1294
Lastpage :
1299
Abstract :
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.
Keywords :
data mining; electronic mail; feature extraction; pattern classification; ENRON email dataset; adaptive email foldering strategy; classification performance; feature extraction; feature selection; Accuracy; Adaptation models; Electronic mail; Entropy; Feature extraction; Monitoring; Training; email foldering; feature extraction; text mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on
Conference_Location :
Cordoba
ISSN :
2164-7143
Print_ISBN :
978-1-4577-1676-8
Type :
conf
DOI :
10.1109/ISDA.2011.6121838
Filename :
6121838
Link To Document :
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