Internet Based Hosted System and Computer Readable Medium for Modeling Analysis

• US 20120166156A1
• Filed: 12/01/2011
• Published: 06/28/2012
• Est. Priority Date: 12/04/2010
• Status: Active Grant

• Current Assignee: Liftchart, LLC
• Original Assignee: Liftchart, LLC
• Inventors: Meng, Zhaobing, Jin, Zusheng, Chen, Yumin, Ning, Ping
• Granted Patent: US 8,977,720 B2
• Time in Patent Office: Days
• US Class Current: 703/2
• CPC Class Codes: G06F 17/10 Complex mathematical operations function generation by table look-up G06F1/03; evaluation of elementary functions by calculation G06F7/544
• CPC Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04

Abstract

A Internet based system and computer readable medium comprising code for determining multiple modeling analysis tasks associated with a received data set, wherein the received data set is received via Internet, receiving a specification of multiple modeling analysis tasks, collecting a specification of the modeling analysis tasks via Internet, conducting a modeling analysis the received data set based on the determined multiple modeling analysis tasks and the received specification of the modeling analysis tasks and delivering a result of the modeling analysis via Internet.

Claims

1. An Internet based computer program embodied on a computer readable medium and operable to be executed by a processor, the computer program comprising computer readable program code for:

determining a plurality of modeling analysis tasks associated with at least one received data set, wherein said at least one received data set is received via Internet;

receiving a specification of said plurality of modeling analysis tasks;

collecting a specification of said modeling analysis tasks via Internet;

conducting a modeling analysis upon said at least one received data set based in part upon said determined plurality of modeling analysis tasks and said received specification of said modeling analysis tasks; and

delivering a result of said modeling analysis via Internet.

2. The computer program of claim 1 further comprising:

collecting a target variable designation of said at least one received data set;

collecting a predictive modeling type designation of said modeling analysis tasks;

collecting a data set format of said at least one received data set;

predictive modeling upon said at least one received data set based in part upon said determined plurality of modeling analysis tasks, said data set format, said collected target variable designation and said predictive modeling type designation, said predictive modeling resulting in a predictive model;

delivering said predictive model via Internet;

scoring a fit of said predictive model upon said at least one received data set; and

delivering said score of fit of said predictive model via Internet.

3. The computer program of claim 2 further comprising storing said predictive model for application to a plurality of received data sets.

4. The computer program of claim 2 further comprising storing said at least one received data set for application of a plurality of predictive models to said received data set.

5. The computer program of claim 2 wherein said predictive modeling comprises regression modeling analysis.

6. The computer program of claim 2 wherein said predictive modeling comprises a plurality of predictive models that optimize a plurality of fits of said predictive model upon said at least one received data set.

7. The computer program of claim 2 further comprising collecting at least one of:

a set of modeling preferences to be applied to said predictive model;

a delivery method preference for delivery of said predictive model;

a data sharing preference of said at least one received data set; and

a results sharing preference of said predictive model.

8. The computer program of claim 2 further comprising:

splitting said at least one received data set into a training data set and a validation data set;

training said predictive model to optimize a fit of said predictive model on said training data set; and

validating said predictive model utilizing said validation data set.

9. The computer program of claim 2 further comprising:

storing a results record of said predictive model of said at least one received data set; and

storing a results file of said predictive model of said at least one received data set.

10. The computer program of claim 2 further comprising:

acknowledging completion of said modeling;

reading said results record of said score of fit of said predictive model of said at least one received data set; and

reading a results file of said score of fit of said predictive model of said at least one received data set.

11. The computer program of claim 1 further comprising:

determining a segmentation type of said at least one received data set, wherein said segmentation type is chosen from a group consisting of supervised segmentation and unsupervised segmentation;

collecting a target variable designation of said at least one received data set based upon said supervised segmentation;

determining a plurality of segmentation tasks;

performing at least one of;

a supervised segmentation analysis upon said at least one received data set based in part upon said plurality of segmentation tasks, said target variable designation and said segmentation type; and

an unsupervised segmentation analysis upon said at least one received data set based in part upon said determined plurality of segmentation tasks and said segmentation type; and

delivering a result of at least one of said supervised segmentation analysis and said unsupervised segmentation analysis via Internet.

12. The computer program of claim 1 further comprising:

collecting a data set format of said at least one received data set, wherein said data set format is a statistical system file format.

13. The computer program of claim 1 further comprising:

collecting a data set format of said at least one received data set;

collecting a target variable designation of said at least one received data set;

acknowledging receipt of said received specification, said data set format and said target variable designation;

issuing a status notification of said modeling analysis tasks;

storing a received data set record of said at least one received data set;

storing said target variable designation of said at least one received data set;

storing said data set format of said at least one received data set; and

extracting header information from said at least one received data set.

14. The computer program of claim 1 further comprising:

collecting at least one profiling population category variable designation of said at least one received data set;

determining a plurality of profiling tasks;

conducting a profiling analysis upon said at least one received data set based in part upon said determined plurality of profiling tasks and said at least one profiling population category variable designation; and

delivering a result of said profiling analysis via Internet.

15. The computer program of claim 1 further comprising:

collecting at least one analysis of variance variable designation of said at least one received data set;

determining a plurality of analysis of variance tasks;

conducting an analysis of variance test upon said at least one received data set based in part upon said at least one analysis of variance variable designation and said plurality of analysis of variance tasks; and

delivering a result of said analysis of variance test via Internet.

16. The computer program of claim 1 further comprising collecting at least one of:

a weighted variable designation of said at least one received data set;

an included variable designation of said at least one received data set; and

an excluded variable designation of said at least one received data set.

17. A system, comprising:

a memory operable to store;

a received data set, wherein at least one received data set is received via Internet; and

a model specification to be applied to said at least one received data set;

one or more processors collectively operable to;

determine a plurality of statistical modeling tasks associated with said at least one received data set;

model said at least one received data set based in part upon said determined plurality of statistical modeling tasks and said model specification;

score a fit of said modeling of said at least one received data set, resulting in a scored model; and

deliver said scored model via Internet.

18. The system of claim 17 wherein said memory is operable to further store at least one of:

said model for application to a plurality of received data sets; and

said at least one received data set for application of a plurality of models to said received data set.

19. The system of claim 17 wherein said model comprises a plurality of models that optimize a plurality of model fits of said at least one received data set.

20. The system of claim 17 wherein said memory is operable to further store at least one of:

a set of modeling preferences to be applied to said model;

a delivery method preference for delivery of said scored model;

a data sharing preference of said at least one received data set; and

a results sharing preference of said scored model.

21. The system of claim 17 wherein said model specification further comprises:

a received data set format of said at least one received data set;

a target variable designation of said at least one received data set; and

at least one of;

a weighted variable designation of said at least one received data set;

an included variable designation of said at least one received data set; and

an excluded variable designation of said at least one received data set.

22. The system of claim 17 wherein:

said memory is operable to further store a received data set record of said at least one received data set; and

said one or more processors are operable to further extract header information from said at least one received data set.

23. The system of claim 17 wherein said one or more processors are operable to further:

acknowledge completion of said modeling;

receive a request for results of said scored modeling;

receive results records of said scored modeling; and

receive results files of said scored modeling.

24. A system, comprising:

a memory operable to store;

a received data set, wherein at least one received data set is received via Internet; and

a model specification to be applied to said at least one received data set wherein said model specification comprises at least;

a received data set format of said at least one received data set;

a target variable designation of said at least one received data set; and

at least one of;

a weighted variable designation of said at least one received data set;

an included variable designation of said at least one received data set; and

an excluded variable designation of said at least one received data set;

one or more processors collectively operable to;

split said at least one received data set into a training data set and a validation data set;

train a plurality of models using a plurality of statistical modeling tasks to optimize a plurality of model fits of said training data set, wherein said training is based in part upon said model specification;

validate said plurality of trained models utilizing said trained plurality of model fits on said validation data set;

score a fit of said plurality of validated models; and

deliver said scored plurality of validated models via Internet.

25. The system of claim 24 wherein Internet communication interface comprises at least one of an Internet browser, a mobile device, a data integration service and a file transfer service.

26. The system of claim 24 wherein Internet communication network comprises at least one of wired, wireless and optical communication.