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Using GNUsmail to Compare Data Stream Mining Methods for On-line Email Classification
Published on 2011-11-113095 Views
Real-time classification of emails is a challenging task because of its online nature, and also because email streams are subject to concept drift. Identifying email spam, where only two different lab
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Presentation
Using GNUsmail to Compare Data Stream Mining Methods for On-line Email Classification00:00
Content00:00
Context - Email mining00:16
Context - Email classification approaches00:55
Context - Hypothesis01:29
Context01:42
Content - GNUsmail02:51
GNUsmail: Architecture and Characteristics02:52
Text Preprocessing Module03:54
Learning Module - 104:53
Learning Module - 205:48
Content - Evaluation06:11
Evaluation of Data Stream Mining Methods06:14
Comparing the performance07:15
Content - Replicable Experimentation07:54
Experimental Setup - 107:55
Experimental Setup - 209:03
Results10:01
Results for beck-s11:22
Results for kitchen-l12:33
Adapted McNemar test - 113:39
Adapted McNemar test - 214:39
Content - Conclusion15:06
Conclusion and Future Work15:07