System and methods for data analysis and trend prediction
First Claim
1. A method comprising:
- generating one or more nodes using feature extraction from a dataset, wherein each node represents a concept; and
determining at least a first relationship among the nodes;
wherein the generating is accomplished based on heuristics using the first relationship.
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Abstract
Systems and methods for data analysis and trend prediction. Multiple networks are combined for analysis to improve the accuracy of the evaluation by broadening the type of criteria considered. Relevant features are extracted from a dataset and at least one network is formed representing various relationships identified among the items contained in the dataset according to heuristics. Statistical analyses are applied to the relationships and the results output to a user via one or more reports to permit a user to evaluate each of the items in the dataset relative to each other. The trend of the relationships may be predicted based on the results of statistical analysis applied to the features over successive discrete time periods.
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Citations
20 Claims
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1. A method comprising:
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generating one or more nodes using feature extraction from a dataset, wherein each node represents a concept; and
determining at least a first relationship among the nodes;
wherein the generating is accomplished based on heuristics using the first relationship. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method comprising:
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generating a set of nodes by extracting features from a dataset according to at least a first heuristic;
representing at least a first feature relationship using the nodes, a second feature relationship using a first link, and a third feature relationship using a second link, wherein each of said first and second links has an endpoint at one of the nodes;
assigning a weight for each link based on a second heuristic;
ranking the nodes based on the first and second heuristics; and
outputting a report including an indication of the ranking.
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12. A system comprising:
a network integrator that combines expertise data and social networking data for combined inter-relationship analysis, the network integrator being configured to extract features from a dataset based on at least one relationship determined to exist between items in the dataset according to heuristics. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
Specification