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Development of a prototype for user-driven email classification
Enormous volumes of email are proliferated around the world every day, and a significant number of users believe that a large proportion of their time is being wasted dealing with the resultant inbox 'flooding'. This research studies existing email classification techniques which aim to reduce the...
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| Format: | Thesis |
| Language: | English |
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Department of Computer Science
2024
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