Recurring concept detection for spam filtering

• Published in: 17th International Conference on Information Fusion (FUSION) pp. 1 - 7
• Main Authors: Abad, Miguel Angel, Gomes, Joao Bartolo, Menasalvas, Ernestina
• Format: Conference Proceeding
• Language: English
• Published: International Society of Information Fusion 01.07.2014
• Subjects: Accuracy; Adaptation models; Context; Context modeling; Prediction algorithms; Training; Unsolicited electronic mail

In this work we dig into the problem of recurring concept drifts, proposing a framework to manage them. Its implementation and evaluation phases have been oriented to solve the spam detection problem, taking into account that it is a real-world situation where concepts (spam patterns) may reappear....