Towards language independent automated learning of text categorization models
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Improving text retrieval for the routing problem using latent semantic indexing
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Context-sensitive learning methods for text categorization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
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E-mails are widely used communication tool with their convenienceand efficiency. In spite of their usefulness, they are difficult to control in thate-mails are easily used as outflow path of confidential documents in an organization.In order to detect and prevent the outflow, the e-mail monitoring iswidely used. We propose a system that detects in real time the outflow of thedocuments to be protected. It is based on the automatic text categorization andmachine learning technique. The experimental result shows the high accuracyand efficiency of the method.