Richard J Mansfield

US Patent:

7499897, Mar 3, 2009

Filed:

Apr 16, 2004

Appl. No.:

10/826624

Inventors:

Stephen K. Pinto - Newton MA, US
Richard Mansfield - Cambridge MA, US

Assignee:

Fortelligent, Inc. - Boston MA

International Classification:

G06F 17/00
G06N 5/02

US Classification:

706 46, 706 14, 706 11

Abstract:

Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. A graphical user interface enables a user of a model generation tool to view and manage subgroups of variables associated with generation of a predictive model including original source variables and derived variables; variable response functions are displayed; variables are edited and transformed into new more predictive variables.

US Patent:

7562058, Jul 14, 2009

Filed:

Apr 16, 2004

Appl. No.:

10/826452

Inventors:

Stephen K. Pinto - Newton MA, US
Richard Mansfield - Cambridge MA, US

Assignee:

Fortelligent, Inc. - Boston MA

International Classification:

G06E 3/00
G06G 7/00

US Classification:

706 21, 703 2, 705 14, 707 5

Abstract:

Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. A user generates a predictive model based on historical data about a system being modeled. Structured project information is automatically stored that captures a state of the project at successive steps in generating the model.

US Patent:

7725300, May 25, 2010

Filed:

Apr 16, 2004

Appl. No.:

10/826453

Inventors:

Stephen K. Pinto - Newton MA, US
Richard Mansfield - Cambridge MA, US
Jay C. Hirshberg - Newton MA, US

Assignee:

Fortelligent, Inc. - Boston MA

International Classification:

G06F 17/10

US Classification:

703 2, 703 22, 706 21, 705 7

Abstract:

Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. In connection with a process in which a user generates a collection of predictive models or an aggregate predictive model based on historical data about a system being modeled, profiles of aggregate targets are generated based on key contributory variables.

US Patent:

7730003, Jun 1, 2010

Filed:

Apr 16, 2004

Appl. No.:

10/826950

Inventors:

Stephen K. Pinto - Newton MA, US
Richard Mansfield - Cambridge MA, US
Marc Jacobs - Needham MA, US
Donald Rubin - Newton MA, US

Assignee:

Fortelligent, Inc. - Boston MA

International Classification:

G06E 1/00
G06E 3/00

US Classification:

706 21, 703 22, 705 7, 705 10

Abstract:

Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. Historical multi-dimensional data is received representing multiple source variables to be used as an input to a predictive model of a commercial system and applying transformations to the data that are selected based on the strength of measurement represented by a variable; variables are transformed into new more predictive variables, including the Bayesian renormalization of sparsely sampled variable and including the imputation of missing values for categorical or continuous variables.

US Patent:

8165853, Apr 24, 2012

Filed:

Apr 16, 2004

Appl. No.:

10/826949

Inventors:

Stephen K. Pinto - Newton MA, US
Richard Mansfield - Cambridge MA, US
Donald Rubin - Newton MA, US

Assignee:

KnowledgeBase Marketing, Inc. - Richardson TX

International Classification:

G06G 7/60

US Classification:

703 2, 703 6, 705 38, 700 44, 700 97

Abstract:

Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. Historical multi-dimensional data is received representing multiple variables to be used as an input to a predictive model of a commercial system variables are pruned for which the data is sparse or missing, and the population of variables is adjusted to represent main effects exhibited by the data and interaction and non-linear effects exhibited by the data.

US Patent:

8170841, May 1, 2012

Filed:

Apr 16, 2004

Appl. No.:

10/826947

Inventors:

Stephen K. Pinto - Newton MA, US
Richard Mansfield - Cambridge MA, US
Marc Jacobs - Needham MA, US
Donald Rubin - Newton MA, US

Assignee:

KnowledgeBase Marketing, Inc. - Richardson TX

International Classification:

G06G 7/60

US Classification:

703 2, 703 6, 705 38, 700 97, 700 44

Abstract:

Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. In connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is enabled to validate the model development process with cross-validation between at least two subsets of the historical data; the validated model development process is enabled to be reapplied.

US Patent:

20050234688, Oct 20, 2005

Filed:

Apr 16, 2004

Appl. No.:

10/826630

Inventors:

Stephen Pinto - Newton MA, US
Richard Mansfield - Cambridge MA, US
Marc Jacobs - Needham MA, US
Donald Rubin - Newton MA, US

International Classification:

G06G007/48
G06G007/62
G06F017/50
G05B013/02

US Classification:

703006000, 703013000

Abstract:

Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. Historical multi-dimensional data is received representing multiple variables transformed to be maximally predictive for at least one outcome variable to be used as an input to a predictive model of a commercial system, model development process is validated for at one or more sets of such variables and enabling a user of a model generation tool to combine at least two of the variables from the sets of variables.

US Patent:

20050234761, Oct 20, 2005

Filed:

Apr 16, 2004

Appl. No.:

10/826711

Inventors:

Stephen Pinto - Newton MA, US
Richard Mansfield - Cambridge MA, US
Donald Rubin - Newton MA, US

International Classification:

G06F017/60

US Classification:

705010000

Abstract:

Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. In connection with a project in which a user generates a predictive model based on historical data about a system being modeled, and in which the project includes a series of user choice points and actions or parameter settings that govern the generation of the model based on rules, which direct the user to select and apply an optimal model.

Author:

Richard G. Mansfield

ISBN #:

0070637210

Author:

Richard A. Mansfield

ISBN #:

0871629232

Author:

Richard S. Mansfield

ISBN #:

0750674512

Author:

Richard S. Mansfield

ISBN #:

0882296531

Author:

Richard S. Mansfield

ISBN #:

0884151360

Author:

Richard Mansfield

ISBN #:

0195036026

Author:

Richard Mansfield

ISBN #:

0071497897

Author:

Richard Mansfield

ISBN #:

0471778001