Partial predictive modeling
AssigneeKxen
InventorsMarco S. Casalaina, Bruno Delahaye
Life of this patent
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Abstract
A computerized method disclosed herein for analyzing data based on multiple disparate datasets generates a unified predictive model based on a unified dataset, wherein the unified dataset includes data from the multiple disparate datasets. The unified predictive model is partitioned into a number of partial predictive models. A number partial predictions are generated by applying each of the partial predictive models to data from each of the plurality of datasets and the plurality of partial predictions are combined to generate a unified prediction.
Claims20
A method, comprising:
- generating a unified predictive model based on a unified dataset, wherein the unified dataset comprises data from a plurality of datasets;
- and
- partitioning the unified predictive model into a plurality of partial predictive models, wherein each of the plurality of partial predictive models can be evaluated using data from a separate one of the plurality of datasets.
One or more tangible computer-readable storage media storing computer executable instructions for performing a computer process on a computing system, the computer process comprising:
- generating a unified predictive model based on a unified dataset, wherein the unified dataset comprises data from a plurality of datasets;
- partitioning the unified predictive model into a plurality of partial predictive models;
- generating a plurality of partial predictions by evaluating one or more of the plurality of partial predictive models using data from one or more of the plurality of datasets;
- and
- combining the plurality of partial predictions to generate a unified prediction.
A system, comprising:
- a computer readable memory module configured to store a unified analytical dataset (ADS), wherein the unified ADS comprises data from a plurality of datasets;
- a model trainer module configured to generate a unified predictive model based on a unified ADS;
- and
- a partition module configured to partition the unified predictive model into a plurality of partial predictive models, wherein each of the plurality of partial predictive models can be evaluated using data from one of the plurality of datasets.
Dependencies are inferred from the claim text.