Searching for "Data Mining in Inductive Databases." – sorted by Relevance.
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Frequent Pattern Queries: Language and Optimizations
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Subdue: compression-based frequent pattern discovery in graph data
- compounds [7]. Another promising direction in the field of graph-based data mining is that of inductive
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Constraint Based Induction of Multi-Objective Regression Trees
- ,5] is to tightly integrate databases with data mining. An inductive database not only stores data, but also models
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Learning Predictive Clustering Rules
- important for constraint-based data mining and inductive databases. As IDBs are the most promising approach
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