A guide to the literature on learning probabilistic networks from data
Advances in feedforward neural networks: demystifying knowledge acquiring black boxes
Handling discovered structure in database systems
A high-level Petri net for goal-directed semantics of Horn clause logic
Optimization of materialization strategies for derived data elements
Evaluating aggregate operations over imprecise data
An object-oriented database system Jasmine: implementation, application, and extension
VELOS: a new approach for efficiently achieving high availability in partitioned distributed systems
Speeding up external mergesort
On-line clustering
On coupling multiple systems with a global buffer
Describing database objects in a concept language environment
Correction to a footnote in "Theoretical and Practical Considerations of Uncertainty and Complexity'"