Patent Document ID: 8364666
Application ID: 12464694

Base Claim:
1. A computer-implemented method for performing a data analysis task having an associated analysis context, the method comprising: defining the analysis context associated with the data analysis task, wherein data items have a variable relevance in accordance with the context, and wherein the data items are grouped together to form logical transactions conducted by a user over a predetermined time period; receiving the logical transactions exchanged over a communication network, wherein the logical transactions include a first data item type and a second data item type that is different from the first data item type; processing the logical transactions with a set of prioritization rules to generate relevance scores that quantify a relevance of the logical transactions to the analysis context, wherein the relevance scores are assigned according to a common scale; and generating a prioritization of the logical transactions based on the relevance scores.

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Claim 2:
2. The computer-implemented method of claim 1 wherein processing the data items with the set of prioritization rules to generate the relevance scores that quantify the relevance of the data items to the analysis context comprises normalizing the data items by assigning a first relevance score to data items of the first data item type and a second relevance score to data items of the second data item type, wherein the first relevance score and the second relevance score comprise different values.