A comparative study on feature selection and adaptive strategies for email foldering using the ABC-DynF framework

Author:

Carmona-Cejudo José M.,Castillo Gladys,Baena-García Manuel,Morales-Bueno Rafael

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference40 articles.

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3. An extensive empirical study of feature selection metrics for text classification;Forman;Journal of Machine Learning Research,2003

4. P. Viswanath, M.N. Murty, S. Kambala, An efficient parzen-window based network intrusion detector using a pattern synthesis technique, in: PReMI, 2005, pp. 799–804.

5. A review of feature selection techniques in bioinformatics;Saeys;Bioinformatics,2007

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1. EmFore: Online Learning of Email Folder Classification Rules;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

2. Whale optimization algorithm-based email spam feature selection method using rotation forest algorithm for classification;SN Applied Sciences;2019-04-02

3. Alecsa : Attentive Learning for Email Categorization using Structural Aspects;Knowledge-Based Systems;2016-04

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