Spam Filtering Model Based on Interval Type-2 Fuzzy Set Paradigm

Autor:	G. Degli Antoni, Hooman Tahayori, Andrea Visconti
Rok vydání:	2007
Předmět:	business.industry Fuzzy set Centroid Filter (signal processing) Interval (mathematics) computer.software_genre Machine learning Frame of reference Fuzzy logic Field (computer science) Personalization Artificial intelligence Data mining business computer Mathematics
Zdroj:	2007 ITI 5th International Conference on Information and Communications Technology.
DOI:	10.1109/itict.2007.4475636
Popis:	This paper discusses a model for detecting spam based on interval type-2 fuzzy sets. The method confirmed that although dynamic models for spam filtering are preferred, by the way they cannot be used solely and must be integrated with other methods. The method is based on surveying the experts in the field and building the relevant interval type-2 fuzzy map of the given text and then comparing the map with the frames of reference. The method enables personalization and specialization of the filter.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4b5243613367306115233d62d09493f2 https://doi.org/10.1109/itict.2007.4475636 Zobrazit plný text záznamu