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AI '88 Proceedings of the second Australian joint conference on Artificial intelligence
Induction of ripple-down rules applied to modeling large databases
Journal of Intelligent Information Systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A Rough Set Framework for Data Mining of Propositional Default Rules
ISMIS '96 Proceedings of the 9th International Symposium on Foundations of Intelligent Systems
Peculiarity Oriented Multidatabase Mining
IEEE Transactions on Knowledge and Data Engineering
Multilevel data summarization from information systems: a "rule + exception" approach
AI Communications - Special issue on Artificial intelligence advances in China
“Rule + exception” strategies for knowledge management and discovery
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Toward a target-specific method of threat assessment
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
IEEE Transactions on Intelligent Transportation Systems
Relational peculiarity-oriented mining
Data Mining and Knowledge Discovery
Local peculiarity factor and its application in outlier detection
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Detecting Abnormal Events via Hierarchical Dirichlet Processes
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Two decades of ripple down rules research
The Knowledge Engineering Review
Agent based framework for emergency rescue and assistance planning
PAISI'07 Proceedings of the 2007 Pacific Asia conference on Intelligence and security informatics
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
CWME: a framework of group support system for emergency responses
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Hidden markov model based intrusion detection
WISI'06 Proceedings of the 2006 international conference on Intelligence and Security Informatics
One-Class strategies for security information detection
WISI'06 Proceedings of the 2006 international conference on Intelligence and Security Informatics
WISI'06 Proceedings of the 2006 international conference on Intelligence and Security Informatics
WISI'06 Proceedings of the 2006 international conference on Intelligence and Security Informatics
Cyberspace community analysis and simulation using complex dynamic social networks
WISI'06 Proceedings of the 2006 international conference on Intelligence and Security Informatics
Rule+Exception learning-based class specification and labeling in intelligence and security analysis
WISI'06 Proceedings of the 2006 international conference on Intelligence and Security Informatics
Ripple-down rules with censored production rules
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
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Knowledge representation based on rule + exception strategies has strong cognitive roots and can play an important role in the design and implementation of intelligent information systems, including those motivated by homeland security-related applications. In this framework, you can succinctly describe normal situations or behaviors by easily understandable rules. You can also capture abnormal cases by exceptions to these rules. This rule + exception-based approach has great potential to evolve into a unified multiple-level data description and understanding framework applicable across many security informatics applications.This article is part of a special issue on homeland security.