This diploma thesis deals with usage of bayesian filtres. Bayesian filters are used especially as defensive mechanism in fight with unsolicited emails. The main aim is to try whether these filters may operate not only with emails but also on behalf of web pages distinction. The introductory part provides basic information about fight against unsolicited emails. Above all is mentioned bayesian fighting method that is more detailed developed with simple example. The second fundamental half is focusing on attempt where are experimentally analyzed possibilities of web pages distinction with the aid of bayesian filter into legitimate and spam pages. Furthermore it handles with possibility web pages sorting into several categories more than only into legitimate and spam. Both experiments are described in detail and it includes descriptions of all used tools.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:9227 |
| Date | January 2008 |
| Creators | Červenka, Richard |
| Contributors | Kastl, Jan, Veselá, Bohumila |
| Publisher | Vysoká škola ekonomická v Praze |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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