Enhancement schemes for constraint processing: backjumping, learning, and cutset decomposition
Artificial Intelligence
PAC-learnability of determinate logic programs
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
IEEE Transactions on Knowledge and Data Engineering
Meta-queries - Computation and Evaluation
DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
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Metaquery (also known as metapattem) is a datamining tool useful for learning rules involving more than one relation in the database. A metaquery is a template, or a second-order proposition in a language L, that describes the type of pattern to be discovered. This tool has already been successfully applied to several real-world applications. In this paper we advance the state of the art in metaqueries research in several ways. First, we analyze the related computational problem and classify it as NP-hard, with a tractable subset that is quite immediately evident. Second, we argue that the notion of support for meta-queries, where support is intuitively some indication to the relevance of the rules to be discovered, is not adequately defined in the literature, and propose our own definition. Third, we propose some efficient algorithms for computing support and present preliminary experimental results that indicate that our algorithms are indeed quite useful.