An Analysis of Case-Base Editing in a Spam Filtering System

@inproceedings{Delany2004AnAO,
  title={An Analysis of Case-Base Editing in a Spam Filtering System},
  author={Sarah Jane Delany and Padraig Cunningham},
  booktitle={ECCBR},
  year={2004}
}
Because of the volume of spam email and its evolving nature, any deployed Machine Learning-based spam filtering system will need to have procedures for case-base maintenance. Key to this will be procedures to edit the case-base to remove noise and eliminate redundancy. In this paper we present a two stage process to do this. We present a new noise reduction algorithm called Blame-Based Noise Reduction that removes cases that are observed to cause misclassification. We also present an algorithm… CONTINUE READING
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