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US 7,454,377 B1Granted
Computer method and apparatus for aggregating and segmenting probabilistic distributions
AssigneePerry H. Beaumont
InventorPerry Harley Beaumont
Life of this patent
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Abstract
Computer method and apparatus that permits a sensory oriented interactive real time aggregation and segmentation of probabilistic distributions derived from quantitative and qualitative data of one or more sources with a feedback mechanism that describes distribution attributes in a variety of visual, kinetic, and aural contexts.
Claims10
A computer implemented system for aggregating and segmenting probabilistic distributions in real time comprising the steps of:
- an input device for creating a target profile from the input of one or more users using stated preferences or expectations relative to data about which probabilistic distributions exist;
- a computer program for simulating the future behavior of the target profile or comparative profiles with historical data;
- a second computer program for identifying substitute profiles that match or improve upon the target profile or comparative profiles;
- a third computer program for modifying a target profile or comparative profiles by selectively adding, eliminating, or changing particular probabilistic distribution characteristics in response to user-defined parameters or movements of an interactive user operated control;
- a fourth computer program for codifying any discrepancies between a target profile and comparative profiles;
- a fifth computer program for sensing and tracking single or multiple probabilistic distributions;
- a sixth computer program for sensing and tracking multiple segments of a single aggregate probabilistic distribution;
- and
- a display for generating results in a continual manner so that immediate feedback is displayed to the user as a discrepancy indicator wherein the step of codifying any discrepancies between a target profile and a comparative profile further comprises the step of calculating such discrepancies according to the following formula:
- Discrepancy=|E[XTarget]−E[XComparative]|/(Var[XTarget])0.5, EQU1
- where E[XTarget] represents the mean of a target data series, E[XComparative] represents the mean of a comparative data series, and Var[XTarget] represents the variance of a target data series;
- and
- where respective values are weighted per user specifications and where the sum of weights is required to total one hundred percent.
10 more elements
A computer implemented method and apparatus for aggregating and segmenting probabilistic distributions in real time, comprising the steps of:
- creating a target profile from the input of one or more users using stated preferences or expectations relative to data about which probabilistic distributions exist;
- simulating the future behavior of the target profile with historical data;
- identifying substitute profiles that match or improve upon the target profile;
- modifying a target profile by selectively adding, eliminating, or changing particular probabilistic distribution characteristics in response to user-defined parameters or movements of an interactive user operated control;
- and
- codifying any discrepancies between a target profile and a comparative profile by calculating such discrepancies according to the following formula:
- Discrepancy=|E[XTarget]−E[XComparative]|/(Var[XTarget])0.5, EQU1
- where E[XTarget] represents the mean of a target data series, E[Comparative] represents the mean of a comparative data series, and Var[XTarget] represents the variance of a target data series;
- and
- where respective values are weighted per user specifications and where the sum of weights is required to total one hundred percent.
7 more elements
Dependencies are inferred from the claim text.