Method and apparatus for generating test data sets in...

Error detection/correction and fault detection/recovery – Pulse or data error handling – Digital logic testing

Reexamination Certificate

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Details

C707S793000, C717S152000, C706S012000

Reexamination Certificate

active

07085981

ABSTRACT:
Techniques for processing data sets and, more particularly, constructing a synthetic data set (test data set) from real data sets (input data sets) in accordance with user feedback. The technique mimics real data sets effectively to generate the corresponding synthetic ones. Multiple real data sets may be used to create a test data set which combines the characteristics of these multiple data sets. Users of the technique have the ability to modify the characteristics of the data sets to create a new data set which has features that a user may desire. For example, a user may change the shape or size of, or distort the different patterns in the data to create a new data set. A user may also choose to inject noise into the system.

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“Banner Software Releases Test Data Generator”, Redmondmag.com Magazine, Feb. 9, 2000, by Scott Bekker, accessed on the internet on Nov. 16, 2005 at http://redmondmag.com
ews/article.asp?EditorialsID=1021.
Aggarawal et al., “Mining Associations With The Collective Strength Approach”, Nov.-Dec. 2000, IEEE Transactions on Knowledge and Data Engineering, vol. 13, Issue 6, pp. 863-873.

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