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