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

  title={An Analysis of Case-Base Editing in a Spam Filtering System},
  author={Sarah Jane Delany and Padraig Cunningham},
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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Publications referenced by this paper.
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Advances in Instance Selection for Instance-Based Learning Algorithms

Data Mining and Knowledge Discovery • 2002
View 4 Excerpts
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The condensed nearest neighbor rule (Corresp.)

IEEE Trans. Information Theory • 1968
View 4 Excerpts
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AAAI-98 Workshop on Learning for Text Categorization pp

M. Sahami, S. Dumais, +3 authors In
55-62, Madison ,Wisconsin. AAAI Technical Report WS-98-05, • 1998
View 1 Excerpt

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