Automatic refinement of expert system knowledge bases
Automatic refinement of expert system knowledge bases
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Inheritance rules for flexible model retrieval
Decision Support Systems
Empirical Analysis for Expert Systems
Empirical Analysis for Expert Systems
Knowledge-Based Systems in Artificial Intelligence: 2 Case Studies
Knowledge-Based Systems in Artificial Intelligence: 2 Case Studies
Parallel Mining of Association Rules
IEEE Transactions on Knowledge and Data Engineering
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
System Refinement in Practice - Using a Formal Method to Modify Real-Life Knowledge
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Network Structuring and Training Using Rule-Based Knowledge
Advances in Neural Information Processing Systems 5, [NIPS Conference]
User Profiling for Web Page Filtering
IEEE Internet Computing
Theory and algorithm for rule base refinement
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Towards an Ontology Driven Spam Filter
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Ontology-based Association Rules Retrieval using Protege Tools
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Efficient Spam Email Filtering using Adaptive Ontology
ITNG '07 Proceedings of the International Conference on Information Technology
Fighting Spam on Social Web Sites: A Survey of Approaches and Future Challenges
IEEE Internet Computing
Constructing a User Preference Ontology for Anti-spam Mail Systems
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Optimal case-based refinement of adaptation rule bases for engineering design
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Theory Reduction, theory revision, and retranslation
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
An integrated technique for web site usage semantic analysis: the organ system
Journal of Web Engineering
ECPIA: an email-centric personal intelligent assistant
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
A framework for validation of rule-based systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Combining ontologies and scenarios for context-aware e-learning environments
Proceedings of the 28th ACM International Conference on Design of Communication
Ontology-based user profile learning
Applied Intelligence
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One of the biggest problems that Internet faces is the increase of email spam. The main drawback with previous anti-spam filters is that they are based only on 1) the syntactical features of words lacking semantic analysis, or 2) on what the majority of users regard as spam without considering the individual preferences of a particular user. In this paper we present a spam email filter that personalizes its filtering process using an email user profile that contains the user's preferences regarding emails. Our innovative email user profile is based not only on some common user profiling techniques but also on the knowledge contained in a domain ontology. The user profile is used to learn which spam emails (although unsolicited and large-scale sent) are interesting for the user, despite they are spam. The encouraging experimental results provide empirical evidence of the effectiveness of using an ontological approach to user profiling in an email spam filter.