METHODS AND APPARATUS FOR IMPLEMENTING AN ENSEMBLE MERCHANT PREDICTION SYSTEM
First Claim
1. A computer-based method for discovering patterns in financial transaction card transaction data for determining group memberships of a merchant within the transaction data, the data relating to merchants that accept the financial transaction card for payment, said method comprising:
- receiving transaction data from at least one database;
predicting a membership of a merchant within a group using at least one prediction algorithm and the retrieved transaction data, the algorithm generating meta-data describing the predictions;
inputting the at least one predicted group membership and the meta-data into a data mining application; and
assigning a confidence score to each predicted group membership by the data mining application, utilizing the predicted group memberships and the meta-data.
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Accused Products
Abstract
A computer-based method for discovering patterns in financial transaction card transaction data for the purpose of determining group membership of a merchant within the transaction data is described. The data relates to merchants that accept the financial transaction card for payment. The method includes receiving transaction data from at least one database, predicting a membership of a merchant in a group using at least one prediction algorithm and the retrieved transaction data, the algorithm generating meta-data describing the predictions, inputting the at least one predicted group membership and the meta-data into a data mining application, and assigning a confidence value to each predicted group membership by the data mining application, utilizing the predicted group memberships and the meta-data.
74 Citations
32 Claims
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1. A computer-based method for discovering patterns in financial transaction card transaction data for determining group memberships of a merchant within the transaction data, the data relating to merchants that accept the financial transaction card for payment, said method comprising:
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receiving transaction data from at least one database; predicting a membership of a merchant within a group using at least one prediction algorithm and the retrieved transaction data, the algorithm generating meta-data describing the predictions; inputting the at least one predicted group membership and the meta-data into a data mining application; and assigning a confidence score to each predicted group membership by the data mining application, utilizing the predicted group memberships and the meta-data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A computer system for discovering patterns in financial transaction card transaction data for determining group memberships for individual merchants utilizing the transaction data, said computer programmed to:
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run a plurality of prediction algorithms with the transaction data, each prediction algorithm predicting a group membership for a merchant based on the transaction data; assign a confidence score to each predicted group membership; and output the group membership prediction with the highest confidence score as a final membership prediction for the merchant. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32)
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Specification