Robust features generation architecture for fraud modeling
AssigneePaypal, Inc.
InventorNitin Satyanarayan Sharma
Life of this patent
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Abstract
Methods and systems for generating robust computer models for detecting fraudulent electronic transactions are presented herein. A set of dominative features is selected from candidate features using multiple feature selection algorithms, where each dominative feature in the set of dominative features is dominative over every remaining candidate feature. The multiple feature selection algorithms may include at least one univariate feature selection algorithm and at least one multivariate feature selection algorithm. The set of dominative features may be reduced to a number of representations, where each representation represents an aspect of the set of dominative features. The representations may then be used to generate the robust computer model.
Claims20
A method of building a computer model, the method comprising:
- obtaining, by one or more hardware processors, a plurality of candidate features that are associated with the computer model;
- using, by the one or more hardware processors, a plurality of different feature selection algorithms to select a subset of features from the plurality of candidate features that are determined to be dominative relative to fraud detection over the remaining candidate features in the plurality of candidate features according to the plurality of different feature selection algorithms;
- generating, by the one or more hardware processors, a number of representations to represent the subset of features, wherein the number of representations is less than the subset of features;
- and
- building, by the one or more hardware processors, the computer model based on the generated representations.
A system comprising:
- a non-transitory memory;
- and
- one or more hardware processors coupled to the non-transitory memory and configured to read instructions from the non-transitory memory to cause the system to perform operations comprising:
- obtaining a plurality of candidate features that are relevant to the computer model;
- using a plurality of different feature selection algorithms to select a subset of features from the plurality of candidate features that are determined to be dominative over the remaining candidate features relative to fraud detection in the plurality of candidate features according to the plurality of different feature selection algorithms;
- generating a number of representations to represent the subset of features, wherein the number of representations is less than the subset of features;
- and
- building the computer model based on the generated representations.
A non-transitory machine readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:
- obtaining a plurality of candidate features that are relevant to the computer model;
- using a plurality of different feature selection algorithms to select a subset of features from the plurality of candidate features that are dominative over the remaining candidate features in the plurality of candidate features according to the plurality of different feature selection algorithms;
- generating a number of representations to represent the subset of features, wherein the number of representations is less than the subset of features;
- and
- building the computer model based on the generated representations.
Dependencies are inferred from the claim text.