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ABSTRACT
Inductive databases tightly integrate databases with data mining. The key ideas are that data and patterns (or models) are handled in the same way and that an inductive query language allows the user to query and manipulate the patterns (or models) of interest.This paper proposes a simple and abstract model for inductive databases. We describe the basic formalism, a simple but fairly powerful inductive query language, some basics of reasoning for query optimization, and discuss some memory organization and implementation issues.
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CITED BY 9
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Manolis Terrovitis , Panos Vassiliadis , Spiros Skiadopoulos , Elisa Bertino , Barbara Catania , Anna Maddalena , Stefano Rizzi, Modeling and language support for the management of pattern-bases, Data & Knowledge Engineering, v.62 n.2, p.368-397, August, 2007
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Sarabjot Singh Anand , Marko Grobelnik , Frank Herrmann , Mark Hornick , Christoph Lingenfelder , Niall Rooney , Dietrich Wettschereck, Knowledge discovery standards, Artificial Intelligence Review, v.27 n.1, p.21-56, January 2007
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Ilaria Bartolini , Paolo Ciaccia , Irene Ntoutsi , Marco Patella , Yannis Theodoridis, The Panda framework for comparing patterns, Data & Knowledge Engineering, v.68 n.2, p.244-260, February, 2009
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