Method and system for detecting business behavioral patterns related to a business entity
First Claim
1. A method for detecting business behavioral patterns related to a business entity comprising:
- determining a model for business behavioral patterns in which the likelihood of a particular business behavioral pattern is associated with the occurrence of at least one qualitative event and at least one quantitative metric;
extracting a first data set representing the occurrence of the at least one qualitative event associated with the business entity from a first data source;
extracting a second data set representing the at least one quantitative metric associated with the business entity from a second data source;
determining a first confidence attribute and a first temporal attribute associated with the at least one qualitative event;
determining a second confidence attribute and a second temporal attribute associated with the at least one quantitative metric; and
evaluating the likelihood of the particular business behavior pattern by running the model based on the first data set, the second data set, the first confidence attribute, the first temporal attribute, the second confidence attribute and the second temporal attribute.
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Abstract
A method and system for detecting business behavioral patterns related to a business entity is provided. The method comprises determining a model for business behavioral patterns in which the likelihood of a particular business behavioral pattern is associated with the occurrence of a qualitative event and a quantitative metric. The method further comprises extracting a first data set from a first data source and a second data set from a second data source. The first data set represents the occurrence of the qualitative event associated with the business entity. The second data set represents the quantitative metric associated with the business entity. Then a first confidence attribute and a first temporal attribute associated with the qualitative event is determined. Similarly, a second confidence attribute and a second temporal attribute associated with the quantitative metric are determined. Finally, the likelihood of the particular business behavior pattern is evaluated by running the model based on the first data set, the second data set, the first confidence attribute, the first temporal attribute, the second confidence attribute and the second temporal attribute.
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Citations
30 Claims
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1. A method for detecting business behavioral patterns related to a business entity comprising:
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determining a model for business behavioral patterns in which the likelihood of a particular business behavioral pattern is associated with the occurrence of at least one qualitative event and at least one quantitative metric;
extracting a first data set representing the occurrence of the at least one qualitative event associated with the business entity from a first data source;
extracting a second data set representing the at least one quantitative metric associated with the business entity from a second data source;
determining a first confidence attribute and a first temporal attribute associated with the at least one qualitative event;
determining a second confidence attribute and a second temporal attribute associated with the at least one quantitative metric; and
evaluating the likelihood of the particular business behavior pattern by running the model based on the first data set, the second data set, the first confidence attribute, the first temporal attribute, the second confidence attribute and the second temporal attribute. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method of detecting business behavioral patterns related to a business entity comprising:
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formulating a risk assessment model related to the business entity;
expressing the risk assessment model as a probabilistic network with node elements, wherein the node elements comprise quantitative data and qualitative data;
determining a temporal attribute and a confidence attribute associated with the qualitative data and quantitative data and populating the node elements with the temporal attribute and confidence attribute;
inferring one or more risk probability values for one or more high level node elements comprising the probabilistic network based on the qualitative data and quantitative data in the node elements and the temporal attribute and confidence attribute; and
detecting the business behavioral patterns related to the business entity based on the one or more inferred risk probability values. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22)
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23. A system for detecting business behavioral patterns related to a business entity comprising:
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a data extraction engine configured to extract;
a first data set representing the occurrence of at least one qualitative event associated with the business entity from a first data source; and
a second data set representing at least one quantitative metric associated with the business entity from a second data source; and
a data modeling engine configured to;
determine business behavioral patterns in which the likelihood of a particular business behavioral pattern is associated with the occurrence of the at least one qualitative event and the at least one quantitative metric;
determine a first confidence attribute and a first temporal attribute associated with the at least one qualitative event;
determine a second confidence attribute and a second temporal attribute associated with the at least one quantitative metric; and
evaluate the likelihood of the particular business behavior pattern based on the first data set, the second data set, the first confidence attribute, the first temporal attribute, the second confidence attribute and the second temporal attribute. - View Dependent Claims (24, 25, 26, 27, 28, 29, 30)
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Specification