streams in each group, we want to: (i) incrementally n_d local

patterns within a single group, (ii) efficiently obtain global patterns

across groups, and more importantly, (iii) efficiently do that in real time

while limiting shared information across groups. In this paper, we present

a distributed, hierarchical algorithm addressing these problems. Our experimental

case study confirms that the proposed method can perform hierarchical

correlation detection efficiently and effectively.