Michael R Chipley, 504919 Great Meadows Ct, Raleigh, NC 27609

2013002, Jan 24, 2013

Jul 22, 2011

13/189131

Edward Tilden Blair - Cary NC, US
Michael J. Leonard - Cary NC, US
David Bruce Elsheimer - Clayton NC, US
Jerzy Michal Brzezicki - Cary NC, US
Kannukuzhiyil Kurien Kurien - Pune, IN
Michael Ryan Chipley - Raleigh NC, US
Dinesh P. Apte - Pune, IN
Ming-Chun Chang - Cary NC, US

G06F 17/10

703 2

Systems and methods are provided for evaluating a physical process with respect to one or more attributes of the physical process by combining forecasts for the one or more physical process attributes, where data for evaluating the physical process is generated over time. A forecast model selection graph is accessed, the forecast model selection graph comprising a hierarchy of nodes arranged in parent-child relationships. A plurality of model forecast nodes are resolved, where resolving a model forecast node includes generating a node forecast for the one or more physical process attributes. A combination node is processed, where a combination node transforms a plurality of node forecasts at child nodes of the combination node into a combined forecast. A selection node is processed, where a selection node chooses a node forecast from among child nodes of the selection node based on a selection criteria.

2013002, Jan 24, 2013

Apr 5, 2012

13/440045

Jerzy Michal Brzezicki - Cary NC, US
Dinesh P. Apte - Pune, IN
Michael J. Leonard - Cary NC, US
Michael Ryan Chipley - Raleigh NC, US
Sagar Arun Mainkar - Pune, IN
Edward Tilden Blair - Cary NC, US

G06G 7/48

703 6

Systems and methods are provided for evaluating performance of forecasting models. A plurality of forecasting models may be generated using a set of in-sample data. Two or more forecasting models from the plurality of forecasting models may be selected for use in generating a combined forecast. An ex-ante combined forecast may be generated for an out-of-sample period using the selected two or more forecasting models. The ex-ante combined forecast may then be compared with a set of actual out-of-sample data to evaluate performance of the combined forecast.

2014001, Jan 16, 2014

Jul 18, 2012

13/551647

Michael James Leonard - Cary NC, US
Michael Ryan Chipley - Raleigh NC, US
Kshitija Ambulgekar - Pune, IN
Sagar Arun Mainkar - Pune, IN
Ashwini Bhalchandra Dixit - Solapur, IN
Sarika Shrotriya - Pune, IN
Udo V. Sglavo - Raleigh NC, US
Dinesh P. Apte - Pune, IN

G06F 3/048

715804

Systems and methods are provided for analyzing unstructured time stamped data. A first series of user display screens are provided, where the first series of user display screens are configured to be displayed in a step-wise manner so that a user can specify a first approach through a series of predetermined steps on how the unstructured data is to be structured. A second series of user display screens are provided, where the second series of user display screens are configured to be displayed in a step-wise manner so that the user can specify a second approach through the series of predetermined steps on how the unstructured data is to be structured. Tracking data enables alternate viewing of the first and second approach to facilitate a decision whether to format the unstructured time stamped data according to the first approach or the second approach.

2011010, May 5, 2011

Nov 3, 2009

12/611497

Michael Ryan Chipley - Raleigh NC, US
Michael J. Leonard - Cary NC, US
Philip Lodge Holman - Raleigh NC, US
Jerzy Michal Brzezicki - Cary NC, US
Karl Moss - Raleigh NC, US
Dinesh P. Apte - Pune, IN

G06Q 10/00
G06T 11/20

705348, 345440

Computer-implemented systems and methods are provided for implementing a scenario analysis manager that performs multiple scenarios based upon time series data that is representative of transactional data are provided. A system and method provides candidate predictive models for a first scenario for selection where the set of candidate predictive models includes an identification of variables associated with a model. Model selection data is received from a scenario analysis manager where a selected model is configured to predict a future value of a first variable based on values of a second variable. Time series data is received representative of past transaction activity of the first variable and the second variable, and data representative of a future value of the second variable is also received. The future value of the first variable is determined using the selected model, the time-series data and the future value of the second variable.

2017007, Mar 16, 2017

Apr 25, 2016

15/137977

Michael Ryan Chipley - Raleigh NC, US
Michael J. Leonard - Cary NC, US
Philip Lodge Holman - Raleigh NC, US
Jerzy Michael Brzezicki - Cary NC, US
Karl Moss - Raleigh NC, US
Dinesh P. Apte - Pune, IN

G06N 5/02
G06F 3/0482
G06F 3/0481
G06F 3/0484

Systems, products, and methods are disclosed for improving the accuracy of predictions.Possible values of an output variable can be generated based on past values and possible values of input variables and a model. Multiple scenarios can be run, each of which may vary in many factors, such as the model used and the input variables used. Results from multiple scenarios can be presented to a user. Prediction accuracy can be improved through selection of one or more desirable scenarios.

2015012, Apr 30, 2015

Dec 1, 2014

14/557312

- Cary NC, US
Dinesh P. Apte - Pune, IN
Michael J. Leonard - Cary NC, US
Michael Ryan Chipley - Raleigh NC, US
Sagar Arun Mainkar - Pune, IN
Edward Tilden Blair - Cary NC, US

G06F 17/50

703 6

Systems and methods are provided for evaluating performance of forecasting models. A plurality of forecasting models may be generated using a set of in-sample data. Two or more forecasting models from the plurality of forecasting models may be selected for use in generating a combined forecast. An ex-ante combined forecast may be generated for an out-of-sample period using the selected two or more forecasting models. The ex-ante combined forecast may then be compared with a set of actual out-of-sample data to evaluate performance of the combined forecast.