Designing quality databases with IDEF1X information models
Designing quality databases with IDEF1X information models
IEEE Internet Computing
Mining biomolecular data using background knowledge and artificial neural networks
Handbook of massive data sets
A Graphical RDF-Based Meta-Model Management Tool
IEICE - Transactions on Information and Systems
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Rule mining with prior knowledge -- a belief networks approach
Intelligent Data Analysis
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In this paper, we present a novel method to incorporate metadata into data mining. The method has many advantages. It can be completed automatically and is independent of a specific database. Firstly, we convert metadata into ontology. Then input a rule set to a reasoner, which supports rule-based inference over the ontology model. The outputs of the reasoner describe the prior knowledge in metadata. Finally, incorporate the prior knowledge into data mining.