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ICDT '92 Selected papers of the fourth international conference on Database theory
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Principles of Database Systems
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Active Database Systems: Triggers and Rules for Advanced Database Processing
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IEEE Intelligent Systems
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PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
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VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
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Statistical Relational Learning for Document Mining
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
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CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
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Learning Bayesian Networks
Data and web management research at Politecnico di Milano
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On generating near-optimal tableaux for conditional functional dependencies
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TOD: Temporal outlier detection by using quasi-functional temporal dependencies
Data & Knowledge Engineering
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In this article, we introduce pesudoconstraints, a novel data mining pattern aimed at identifying rare events in databases. At first, we formally define pesudoconstraints using a probabilistic model and provide a statistical test to identify pesudoconstraints in a database. Then, we focus on a specific class of pesudoconstraints, named cycle pesudoconstraints, which often occur in databases. We define cycle pesudoconstraints in the context of the ER model and present an automatic method for detecting cycle pesudoconstraints from a relational database. Finally, we present an experiment to show cycle pesudoconstraints “at work” on real data.