Automatic recognition and flagging of anomalous items within...

Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique

Reexamination Certificate

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Details

C706S046000, C706S045000, C717S117000

Reexamination Certificate

active

07406455

ABSTRACT:
The present invention comprises a method and software for recognizing and flagging a data item used by one or more application program as falling within the scope of a rule but anomalous when compared with other data items falling within the scope of the rule. The method of the present invention comprises determining a collection to which the data item belongs as defined by the rule. The collection that the data item belongs to is analyzed to calculate statistics regarding the other data items that are part of the collection. Based on the statistical calculations, it is determined whether the data item is an anomalous data item. If the data item is identified as an anomalous data item, it is flagged.

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