Method for using lengths of data paths in assessing the...

Details Method for using lengths of data paths in assessing the... Method for using lengths of data paths in assessing the...

2007-11-16

2010-10-26

Vincent, David R (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

Knowledge representation and reasoning technique

C707S758000

Reexamination Certificate

active

07822700

ABSTRACT:
A method for finding sets of data (SDDs) for presentation in one-dimension, which are similar to a target SDD, is invented. The method leverages a new category of signatures, called equivalence signatures, to characterize the SDDs and is applicable to all types of data with special interpretation for data that may be presented in two-dimensions. These signatures have the salient feature that, at worst, they change in a bounded manner when small changes are made to the SDDs and when used to find SDDs that are similar to a target SDDs, they allow for a significant reduction in the number of SDDs to be compared with the target. This is an improvement over the state of the art wherein the computational expensive process of performing a complete search against the entire corpus must be applied.

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