BAYESIAN BELIEF NETWORK QUERY TOOL
First Claim
1. A dataset query tool comprising:
- a dataset having a plurality of attributes, wherein each of the attributes has one of a plurality of potential values;
a processor adapted to receive the dataset, develop a model of the dataset, and calculate a posterior probability of at least one of the attributes of the dataset, wherein the model represents an approximation of the joint probability distribution of the dataset; and
a user interface in communication with the processor, wherein the user interface provides a means for a user to selectively identify values for at least one of the attributes of the dataset and selectively query at least one of the other attributes for a posterior probability calculation based on the identified values.
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Abstract
A dataset query tool is disclosed, the query tool including a dataset having a plurality of attributes, wherein each of the attributes has one of a plurality of potential values, a processor adapted to develop a model of the dataset and calculate a posterior probability of at least one of the attributes of the dataset, wherein the model represents an approximation of the joint probability distribution of the dataset, a user interface in communication with the processor, wherein the user interface provides a means for a user to selectively identify values for at least one of the attributes of the dataset and selectively query at least one of the other attributes for a posterior probability calculation based on the identified values.
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Citations
20 Claims
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1. A dataset query tool comprising:
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a dataset having a plurality of attributes, wherein each of the attributes has one of a plurality of potential values; a processor adapted to receive the dataset, develop a model of the dataset, and calculate a posterior probability of at least one of the attributes of the dataset, wherein the model represents an approximation of the joint probability distribution of the dataset; and a user interface in communication with the processor, wherein the user interface provides a means for a user to selectively identify values for at least one of the attributes of the dataset and selectively query at least one of the other attributes for a posterior probability calculation based on the identified values. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for querying a dataset, the method comprising the steps of:
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providing a dataset having a plurality of attributes, wherein each of the attribute has one of a plurality of potential values; developing a model to represent an approximation of the joint probability distribution of the dataset; identifying an evidence; querying a focus attribute of the dataset to determine a posterior probability of the focus attribute based on the identified evidence. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20)
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17. A method for querying a dataset, the method comprising the steps of:
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providing a model representing an approximation of the joint probability distribution of a dataset; providing a user interface for interacting with the model; providing values for a subset of the attributes represented in the model; querying a focus attribute of the dataset to determine a posterior probability of the focus attribute based on the provided values for the subset of the attributes.
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Specification