Systems for knowledge discovery in databases
Database mining: a performance perspective
Abstract-driven pattern discovery in databases
Inductive learning in deductive databases
Learning transformation rules for semantic query optimization: a data-driven approach
From data properties to evidence
Inductive database relations
A framework for knowledge discovery and evolution in databases
Induction of rules subject to a quality constraint: probabilistic inductive learning
Knowledge discovery in molecular databases
A history approach of automatic relationships establishment for VLSI design database
Induction of meta-knowledge about knowledge discovery
Discovery of inexact concepts from structural data
Avoiding misconstruals in database systems: a default logic approach
Calculating salience and breadth of knowledge
Integrating heuristic knowledge and optimization models for communication network design
Near-optimum storage models for nested relations based on workload information
Database concurrency control in multilevel secure database management systems
APPROXIMATE-a query processor that produces monotonically improving approximate answers