Michael A Kruger

US Patent:

7873529, Jan 18, 2011

Filed:

Feb 20, 2004

Appl. No.:

10/783323

Inventors:

Michael W. Kruger - Glenview IL, US
Cheryl G. Bergeon - Arlington Heights IL, US
Arvid C. Johnson - Frankfort IL, US

Assignee:

SymphonyIRI Group, Inc. - Chicago IL

International Classification:

G06Q 10/00

US Classification:

705 7, 705 10

Abstract:

A computer system and method is disclosed that analyzes and corrects retail data. The system and method includes several client workstations and one or more servers coupled together over a network. A database stores various data used by the system. A business logic server uses competitive and complementary fusion to analyze and correct some of the data sources stored in database server. The data fusion process itself is an iterative one—utilizing both competitive and complementary fusion methods. In competitive fusion, two or more data sources that provide overlapping attributes are compared against each other. More accurate/reliable sources are used to correct less accurate/reliable sources. In complementary fusion, relationships modeled where data sources overlap are projected to areas of the data framework in which fewer sources exist—enhancing the accuracy/reliability of those fewer sources even in the absence of the other sources upon which the models were based.

US Patent:

8589208, Nov 19, 2013

Filed:

Nov 18, 2011

Appl. No.:

13/299743

Inventors:

Michael W. Kruger - Glenview IL, US
Romesh Wadhwani - Los Altos Hills CA, US

Assignee:

Information Resources, Inc. - Chicago IL

International Classification:

G06Q 10/00
G06Q 30/02

US Classification:

705 729, 705 733

Abstract:

Uncorrelated data from a variety of sources, such as consumer panels or retailer points of sale, are combined with maximal coverage of a universal data set for a population in a manner that permits useful inferences about behaviorial propensities for the population at an individual or household level.

US Patent:

20080140480, Jun 12, 2008

Filed:

Oct 29, 2007

Appl. No.:

11/926366

Inventors:

MICHAEL W. KRUGER - GLENVIEW IL, US
CHERYL G. BERGEON - ARLINGTON HEIGHTS IL, US
ARVID C. JOHNSON - FRANKFORT IL, US

International Classification:

G06F 17/00

US Classification:

705 7

Abstract:

A computer system and method is disclosed that analyzes and corrects retail data. The system and method includes several client workstations and one or more servers coupled together over a network. A database stores various data used by the system. A business logic server uses competitive and complementary fusion to analyze and correct some of the data sources stored in database server. The data fusion process itself is an iterative one—utilizing both competitive and complementary fusion methods. In competitive fusion, two or more data sources that provide overlapping attributes are compared against each other. More accurate/reliable sources are used to correct less accurate/reliable sources. In complementary fusion, relationships modeled where data sources overlap are projected to areas of the data framework in which fewer sources exist—enhancing the accuracy/reliability of those fewer sources even in the absence of the other sources upon which the models were based.

US Patent:

20080147459, Jun 19, 2008

Filed:

Oct 29, 2007

Appl. No.:

11/926316

Inventors:

MICHAEL W. KRUGER - GLENVIEW IL, US
CHERYL G. BERGEON - ARLINGTON HEIGHTS IL, US
ARVID C. JOHNSON - FRANKFORT IL, US

International Classification:

G06F 17/00

US Classification:

705 7

Abstract:

A computer system and method is disclosed that analyzes and corrects retail data. The system and method includes several client workstations and one or more servers coupled together over a network. A database stores various data used by the system. A business logic server uses competitive and complementary fusion to analyze and correct some of the data sources stored in database server. The data fusion process itself is an iterative one—utilizing both competitive and complementary fusion methods. In competitive fusion, two or more data sources that provide overlapping attributes are compared against each other. More accurate/reliable sources are used to correct less accurate/reliable sources. In complementary fusion, relationships modeled where data sources overlap are projected to areas of the data framework in which fewer sources exist—enhancing the accuracy/reliability of those fewer sources even in the absence of the other sources upon which the models were based.

US Patent:

20080147699, Jun 19, 2008

Filed:

Oct 29, 2007

Appl. No.:

11/927502

Inventors:

MICHAEL W. KRUGER - GLENVIEW IL, US
CHERYL G. BERGEON - ARLINGTON HEIGHTS IL, US
ARVID C. JOHNSON - FRANKFORT IL, US

International Classification:

G06F 17/30

US Classification:

707101, 707E17044

Abstract:

A computer system and method is disclosed that analyzes and corrects retail data. The system and method includes several client workstations and one or more servers coupled together over a network. A database stores various data used by the system. A business logic server uses competitive and complementary fusion to analyze and correct some of the data sources stored in database server. The data fusion process itself is an iterative one—utilizing both competitive and complementary fusion methods. In competitive fusion, two or more data sources that provide overlapping attributes are compared against each other. More accurate/reliable sources are used to correct less accurate/reliable sources. In complementary fusion, relationships modeled where data sources overlap are projected to areas of the data framework in which fewer sources exist—enhancing the accuracy/reliability of those fewer sources even in the absence of the other sources upon which the models were based.

US Patent:

20080154843, Jun 26, 2008

Filed:

Oct 29, 2007

Appl. No.:

11/926320

Inventors:

MICHAEL W. KRUGER - GLENVIEW IL, US
CHERYL G. BERGEON - ARLINGTON HEIGHTS IL, US
ARVID C. JOHNSON - FRANKFORT IL, US

International Classification:

G06F 7/06
G06F 17/30

US Classification:

707 2, 707E17017

Abstract:

A computer system and method is disclosed that analyzes and corrects retail data. The system and method includes several client workstations and one or more servers coupled together over a network. A database stores various data used by the system. A business logic server uses competitive and complementary fusion to analyze and correct some of the data sources stored in database server. The data fusion process itself is an iterative one—utilizing both competitive and complementary fusion methods. In competitive fusion, two or more data sources that provide overlapping attributes are compared against each other. More accurate/reliable sources are used to correct less accurate/reliable sources. In complementary fusion, relationships modeled where data sources overlap are projected to areas of the data framework in which fewer sources exist—enhancing the accuracy/reliability of those fewer sources even in the absence of the other sources upon which the models were based.

US Patent:

20080154884, Jun 26, 2008

Filed:

Oct 29, 2007

Appl. No.:

11/926381

Inventors:

MICHAEL W. KRUGER - GLENVIEW IL, US
CHERYL G. BERGEON - ARLINGTON HEIGHTS IL, US
ARVID C. JOHNSON - FRANKFORT IL, US

International Classification:

G06F 7/10
G06F 17/30

US Classification:

707 5, 707E17017

Abstract:

A computer system and method is disclosed that analyzes and corrects retail data. The system and method includes several client workstations and one or more servers coupled together over a network. A database stores various data used by the system. A business logic server uses competitive and complementary fusion to analyze and correct some of the data sources stored in database server. The data fusion process itself is an iterative one—utilizing both competitive and complementary fusion methods. In competitive fusion, two or more data sources that provide overlapping attributes are compared against each other. More accurate/reliable sources are used to correct less accurate/reliable sources. In complementary fusion, relationships modeled where data sources overlap are projected to areas of the data framework in which fewer sources exist—enhancing the accuracy/reliability of those fewer sources even in the absence of the other sources upon which the models were based.

US Patent:

20080154885, Jun 26, 2008

Filed:

Oct 29, 2007

Appl. No.:

11/926383

Inventors:

MICHAEL W. KRUGER - GLENVIEW IL, US
CHERYL G. BERGEON - ARLINGTON HEIGHTS IL, US
ARVID C. JOHNSON - FRANKFORT IL, US

International Classification:

G06F 7/10
G06F 17/30

US Classification:

707 5, 707E17017

Abstract:

A computer system and method is disclosed that analyzes and corrects retail data. The system and method includes several client workstations and one or more servers coupled together over a network. A database stores various data used by the system. A business logic server uses competitive and complementary fusion to analyze and correct some of the data sources stored in database server. The data fusion process itself is an iterative one—utilizing both competitive and complementary fusion methods. In competitive fusion, two or more data sources that provide overlapping attributes are compared against each other. More accurate/reliable sources are used to correct less accurate/reliable sources. In complementary fusion, relationships modeled where data sources overlap are projected to areas of the data framework in which fewer sources exist—enhancing the accuracy/reliability of those fewer sources even in the absence of the other sources upon which the models were based.