Filtrering av e-post : Binär klassifikation med naiv Bayesiansk teknik
In this thesis we compare how different strategies in choosing attribute values affects junk mail filtering. We used two different variants of a naïve Bayesian junk mail filter. The first variant classified an e-mail by comparing it to a feature vector containing all attribute values that were found...
| Main Authors: | , |
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| Format: | Others |
| Language: | Swedish |
| Published: |
Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan
2007
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-18675 |