Method and apparatus for pattern generation
First Claim
1. A computer-implemented method for transforming scoreable transaction data into a financial data feature for use in assessing credit risk, the method comprising:
- obtaining the scoreable transaction data from a data source; and
performing a set of operations on the scoreable transaction data to transform the scoreable transaction data into the financial data feature, the set of operations being selected only from a predefined set of classes of operations, the set of predefined classes of operations being arranged in a predefined order of precedence, wherein each operation in the set of operations is performed in an order based on the predefined order of precedence of a class associated with the each operator, the set of predefined classes of operations including only classes selected from the group consisting of a data structure class, an atomic transformation class, an entity transformation class, a time transformation class, and a joining operator class.
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Abstract
Methods and apparatus for transforming scoreable transaction data into financial data features are disclosed. In one aspect, a computer-implemented method transforms transaction data into a financial data feature for assessing credit risks. The financial data feature is extracted from the transaction data. The method involves obtaining the transaction data from a data source, and performing a set of operations on the transaction data to transform the transaction data into the financial data feature. The set of operations is selected only from a predefined set of classes of operations which are interrelated by a predefined order of precedence. Each operation in the set of operations is performed in an order based on the predefined order of precedence of a class associated with each operator.
192 Citations
8 Claims
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1. A computer-implemented method for transforming scoreable transaction data into a financial data feature for use in assessing credit risk, the method comprising:
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obtaining the scoreable transaction data from a data source; and
performing a set of operations on the scoreable transaction data to transform the scoreable transaction data into the financial data feature, the set of operations being selected only from a predefined set of classes of operations, the set of predefined classes of operations being arranged in a predefined order of precedence, wherein each operation in the set of operations is performed in an order based on the predefined order of precedence of a class associated with the each operator, the set of predefined classes of operations including only classes selected from the group consisting of a data structure class, an atomic transformation class, an entity transformation class, a time transformation class, and a joining operator class. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
providing the financial data feature to a risk prediction model.
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3. A computer-implemented method as recited in claim 2 further including:
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implementing the risk prediction model the financial data feature; and
assessing a risk of bankruptcy based on as result of the implementation of the risk prediction model.
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4. A computer-implemented method as recited in claim 2 wherein the financial data feature is further configured for use in a transaction scoring process associated with the risk prediction model, the computer-implemented method further including:
providing the financial data feature to the transaction scoring process.
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5. A computer-implemented method as recited in claim 1 wherein the set of operations are performed substantially in real-time.
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6. A computer-implemented method as recited in claim 1 further including
replacing the predefined order of precedence with a second predefined order of precedence in order to transform the scoreable transaction into a second financial data feature. -
7. A computer-implemented method as recited in claim 6 wherein the scoreable transaction data includes the financial data feature, the second financial data feature, and additional data, the computer-implemented method further including:
providing the financial data feature and the second financial data feature, and not the additional data, to a credit risk prediction model.
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8. A computer-implemented as recited in claim 2 wherein the risk prediction model is arranged to assess a level of credit risk using the financial data feature.
Specification