GRAPH STRUCTURED DATA PROCESSING METHOD AND SYSTEM, AND PROGRAM THEREFOR

Patent №

US 6,985,890

Granted

2006-01-10

Filed 2002

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

ml · vision · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10154516

The efficiency of an AGM algorithm is further improved. For an AGM algorithm that can efficiently extract, from a graph database including graph structured data, graph (frequent graph) data having a support level equal to or greater than the minimum support level, a function “relabel” for ordering the vertex labels and edge labels of the graph is executed (step 1). Further, for a function “Newjoin”, for employing a set Fk of adjacency matrixes that represent a size k frequent graph, for generating a set Ck+1 of adjacency matrixes, which represent a size k+1 candidate frequent graph, a fourth condition for coupling a first generator matrix to a second generator matrix is added to the three conditions of the AGM algorithm only when the first generator matrix is a canonical form.

AI classification

Knowledge representation1.00
AI hardware1.00
Vision0.96
Machine learning0.84
Evolutionary computation0.19
Planning0.00
Natural language0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 129450062

Assignors

INOKUCHI, AKIHIRO

On an employer assignment, the assignors are typically the inventors.

From the same owner

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