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Incremental RotBoost algorithm: An application for spam filtering

Ghanbari, E ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.3233/IDA-150725
  3. Publisher: IOS Press , 2015
  4. Abstract:
  5. Incremental learning is a learning algorithm that can get new information from new training sets without forgetting the acquired knowledge from the previously used training sets. In this paper, an incremental learning algorithm based on ensemble learning is proposed. Then, an application of the proposed algorithm for spam filtering is discussed. The proposed algorithm called incremental RotBoost, assumes the environment is stationary. It trains new weak classifiers for newly arriving data, which are added to the ensemble of classifiers. To evaluate the performance of the proposed algorithm, several computer experiments are conducted. The results of computer experiments show the ability of our proposed algorithm for different tasks in the incremental learning. The results also demonstrate that the proposed algorithm can learn incrementally, and it can learn new classes, as well
  6. Keywords:
  7. Internet ; Learning algorithms ; Computer experiment ; Ensemble learning ; Ensemble of classifiers ; Incremental learning ; Spam detection ; Spam filtering ; Training sets ; Weak classifiers ; Algorithms
  8. Source: Intelligent Data Analysis ; Volume 19, Issue 2 , April , 2015 , Pages 449-468 ; 1088467X (ISSN)
  9. URL: http://content.iospress.com/articles/intelligent-data-analysis/ida00725