The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Our goal is to support transaction-time functionality that enables the coexistence of ordinary, non-temporal tables with transaction-time tables. In such a system, each transactio...
David B. Lomet, Richard T. Snodgrass, Christian S....
Databases that preserve a historical record of activities and data offer the important benefit of system accountability: past events can be analyzed to detect breaches and maint...
Gerome Miklau, Brian Neil Levine, Patrick Stahlber...
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...