OntoSPIT: SPIT management through ontologies
Computer Communications
Preserving user's privacy in web search engines
Computer Communications
e-mail authentication system: a spam filtering for smart senders
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Using social networks to distort users' profiles generated by web search engines
Computer Networks: The International Journal of Computer and Telecommunications Networking
Semantic spam filtering from personalized ontologies
Journal of Web Engineering
A novel local patch framework for fixing supervised learning models
Proceedings of the 21st ACM international conference on Information and knowledge management
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Email has become one of the fastest and most economical forms of communication. However, the increase of email users has resulted in the dramatic increase of spam emails during the past few years. As spammers always try to find a way to evade existing filters, new filters need to be developed to catch spam. Ontologies allow for machine-understandable semantics of data. It is important to share information with each other for more effective spam filtering. Thus, it is necessary to build ontology and a framework for efficient email filtering. Using ontology that is specially designed to filter spam, bunch of unsolicited bulk email could be filtered out on the system. This paper proposes to find an efficient spam email filtering method using adaptive ontology.