Method and system for aggregating data distribution models

Details Method and system for aggregating data distribution models Method and system for aggregating data distribution models

2005-01-25

2005-01-25

Broda, Samuel (Department: 2123)

Data processing: structural design, modeling, simulation, and em

Modeling by mathematical expression

C703S001000, C703S006000, C702S179000, C702S180000, C702S181000

Reexamination Certificate

active

06847924

ABSTRACT:
A system and method for creating an aggregated data model from a plurality data distribution models having bins approximating data elements in a plurality of data distributions is disclosed. Each bin of each data distribution model has a polynomial formula for approximating data elements in a respective data distribution. A method for creating the aggregated data model comprises: determining a start point of the aggregated data model having the minimum value and an end point having a maximum value of all of the bins of all of the data distribution models; setting a start point of a first bin of the aggregated data model; setting an end point of a last bin of the aggregated data model; determining a total number of points for the aggregated data model; approximating the data elements described by each data distribution model, each approximated data element comprising one point in the aggregated data model; sorting the points from minimum to maximum; distributing the points into one or more bins in the aggregated data model; and determining a polynomial formula for the points for each bin of the aggregated data model.

REFERENCES:
patent: 6263337 (2001-07-01), Fayyad et al.
patent: 6397166 (2002-05-01), Leung et al.
Wilkinson, “Dot Plots,” American Statistician, vol. 53 No. 3, pp. 276-281 (Aug. 1999).*
Laidlaw et al, “Classification of Material Mixtures in Volume Data for Visualization and Modeling,” Technical Report CS-TR-94-07, California Institute of Technology (1994)(paper available at http://citeseer.nj.nec.com/laidlaw94classification.html).

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