Systems and methods for analysis and linkage between different transaction data providers
First Claim
1. A computerized method, comprising:
- receiving a first set of de-identified transaction data from a first transaction data source, the first set of de-identified transaction data having all personally identifiable information removed therefrom;
receiving a second set of de-identified transaction data from a second transaction data source, the second set of de-identified transaction data having all personally identifiable information removed therefrom;
filtering said first and second sets of de-identified transaction data to identify transactions in each of said first and second sets of de-identified transaction data associated with at least a first entity and to create first and second filtered data sets including the identified transactions;
removing data associated with an identifier field for each of said transactions in said first filtered data set to create a de-identified first data set;
removing data associated with an identifier field for each of said transactions in said second filtered data set to create a de-identified second data set; and
processing said first and second de-identified data using a probabilistic engine to establish a linkage between data in each data set, the linkage being a probability score representing a probability match between the first and second de-identified data sets.
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Accused Products
Abstract
Systems, methods, means, computer program code and computerized processes include receiving a first set of de-identified transaction data from a first transaction data source, receiving a second set of de-identified transaction data from a second transaction data source, filtering the first and second sets of de-identified transaction data to identify transactions associated with at least a first entity and to create first and second filtered data sets, removing data associated with an identifier field for each of the transactions in the first filtered data set to created a de-identified first data set, removing data associated with an identifier field for each of the transactions in the second filtered data set to create a de-identified second data set, and processing the first and second de-identified data sets using a probabilistic engine to establish a linkage between data in each data set.
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Citations
16 Claims
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1. A computerized method, comprising:
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receiving a first set of de-identified transaction data from a first transaction data source, the first set of de-identified transaction data having all personally identifiable information removed therefrom; receiving a second set of de-identified transaction data from a second transaction data source, the second set of de-identified transaction data having all personally identifiable information removed therefrom; filtering said first and second sets of de-identified transaction data to identify transactions in each of said first and second sets of de-identified transaction data associated with at least a first entity and to create first and second filtered data sets including the identified transactions; removing data associated with an identifier field for each of said transactions in said first filtered data set to create a de-identified first data set; removing data associated with an identifier field for each of said transactions in said second filtered data set to create a de-identified second data set; and processing said first and second de-identified data using a probabilistic engine to establish a linkage between data in each data set, the linkage being a probability score representing a probability match between the first and second de-identified data sets. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A non-transitory medium having program instructions stored thereon, the medium comprising:
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instructions to receive a first set of de-identified transaction data from a first transaction data source, the first set of de-identified transaction data having all personally identifiable information removed therefrom; instructions to receive a second set of de-identified transaction data from a second transaction data source, the second set of de-identified transaction data having all personally identifiable information removed therefrom; instructions to filter said first and second sets of de-identified transaction data to identify transactions in each of said first and second sets of de-identified transaction data associated with at least a first entity and to create first and second filtered data sets including the identified transactions; instructions to remove data associated with an identifier field for each of said transactions in said first filtered data set to create a de-identified first data set; instructions to remove data associated with an identifier field for each of said transactions in said second filtered data set to create a de-identified second data set; and instructions to process said first and second de-identified data sets using a probabilistic engine to establish a linkage between data in each data set, the linkage being a probability score representing a probability match between the first and second de-identified data sets. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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Specification