SYSTEM AND METHOD FOR IDENTIFYING HIERARCHICAL HEAVY HITTERS IN A MULTIDIMENSIONAL ENVIRONMENT
Patent №
US 7,590,657
Granted
2009-09-15
Filed 2005
Owner
AT&T AND THE REGENTS RUTGERS UNIVERSITY
+2 more
Lab
—
AI components
2
kr · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11149699
A method including receiving a plurality of elements of a data stream, storing a multi-dimensional data structure in a memory, said multi-dimensional data structure storing the plurality of elements as a hierarchy of nodes, each node having a frequency count corresponding to the number of elements stored therein, comparing the frequency count of each node to a threshold value based on a total number of the elements stored in the nodes and identifying each node for which the frequency count is at least as great as the threshold value as a hierarchical heavy hitter (HHH) node and propagating the frequency count of each non-HHH nodes to its corresponding parent nodes.
AI classification
Ownership
AT&T AND THE REGENTS RUTGERS UNIVERSITY
assignment · 169270833
AT&T CORP.
correct · 301200489
RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY
correct · 301200489
Assignors
CORMODE, GRAHAM, KORN, PHILLIP RUSSELL, MUTHUKRISHNAN, SHANMUGAVELAYUTHAM, SRIVASTAVA, DIVESH
On an employer assignment, the assignors are typically the inventors.