Purging of stored timeseries data

Data processing: database and file management or data structures – Data integrity – Data cleansing – data scrubbing – and deleting duplicates

Reexamination Certificate

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Details

C707S755000, C707S756000, C713S500000

Reexamination Certificate

active

08001093

ABSTRACT:
There is disclosed methods, systems and computer program products for purging stored data in a repository. Users attach relative importance to all data samples across all timeseries in a repository. The importance attached to a data sample is the ‘utility value’ of the data sample. An algorithm uses the utility of data samples and allocates the storage space of the repository in such a way that the total loss of information due to purging is minimized while preserving samples with a high utility value.

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