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.

Knowledge representationAI hardwareG06F 16/24556G06F 16/283Y10S 707/99945Y10S 707/99948

AI classification

AI hardware0.86
Knowledge representation0.65
Machine learning0.07
Natural language0.01
Evolutionary computation0.00
Vision0.00
Speech0.00
Planning0.00

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.

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