Standard algorithms for association rule mining are based on identification of frequent itemsets. In this paper, we study how to maintain privacy in distributed mining of frequen...
Many evolving database applications warrant the use of non-traditional indexing mechanisms beyond B+-trees and hash tables. SP-GiST is an extensible indexing framework that broade...
Previous studies have presented convincing arguments that a frequent pattern mining algorithm should not mine all frequent patterns but only the closed ones because the latter lea...
Overlapping and multi-version techniques are two popular frameworks that transform an ephemeral index into a multiple logical-tree structure in order to support versioning databas...
Situational awareness (SA) applications monitor the real world and the entities therein to support tasks such as rapid decision-making, reasoning, and analysis. Raw input about un...
Dmitri V. Kalashnikov, Yiming Ma, Sharad Mehrotra,...