Patents by Inventor Cheryl G. Bergeon
Cheryl G. Bergeon has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20080294996Abstract: The methods and systems disclosed herein include an analytic platform, with a customized retailer portal application, that may be used to perform data projection and release methodologies in order to create an integrated, flexible, actionable view of data such as data relating to consumers, consumer behavior, commodity sales, and other commercial activities like those pertaining to relationships between consumers and stores.Type: ApplicationFiled: January 30, 2008Publication date: November 27, 2008Inventors: Herbert Dennis Hunt, John Randall West, Marshall Ashby Gibbs, Bradley Michael Griglione, Gregory David Neil Hudson, Andrea Basilico, Arvid C. Johnson, Cheryl G. Bergeon, Craig Joseph Chapa, Alberto Agostinelli, Jay Alan Yusko, Trevor Mason
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Publication number: 20080294372Abstract: In embodiments of the present invention improved capabilities are described for using an analytic platform to obtain a projection. A core information matrix may be developed for data set, where the core information matrix may include regions representing the statistical characteristics of alternative projection techniques that may be applied to the data set. In addition, a user may be provided with an interface whereby the user may observe the regions of the core information matrix to facilitate selecting an appropriate projection technique.Type: ApplicationFiled: January 31, 2008Publication date: November 27, 2008Inventors: Herbert Dennis Hunt, John Randall West, Marshall Ashby Gibbs, Bradley Michael Griglione, Gregory David Neil Hudson, Andrea Basilico, Arvid C. Johnson, Cheryl G. Bergeon, Craig Joseph Chapa, Alberto Agostinelli, Jay Alan Yusko, Trevor Mason
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Publication number: 20080288889Abstract: The methods and systems disclosed herein include an analytic platform, with a data visualization application, that may be used to perform data fusion methodologies in order to create an integrated, actionable view of consumers, consumer behavior, commodity sales, and other commercial activities, such as the relationship between consumers and stores.Type: ApplicationFiled: January 29, 2008Publication date: November 20, 2008Inventors: Herbert Dennis Hunt, John Randall West, Marshall Ashby Gibbs, Bradley Michael Griglione, Gregory David Neil Hudson, Andrea Basilico, Arvid C. Johnson, Cheryl G. Bergeon, Craig Joseph Chapa, Alberto Agostinelli, Jay Alan Yusko, Trevor Mason
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Publication number: 20080288538Abstract: Systems and methods are presented that may involve receiving a causal fact dataset including facts relating to items perceived to cause actions, wherein the causal fact dataset includes a data attribute that is associated with a causal fact datum. It may also involve pre-aggregating a plurality of the combinations of a plurality of causal fact data and associated data attributes in a causal bitmap. It may also involve selecting a subset of the pre-aggregated combinations based on suitability of a combination for the analytic purpose. It may also involve storing the subset of pre-aggregated combinations to facilitate querying of the subset.Type: ApplicationFiled: January 31, 2008Publication date: November 20, 2008Inventors: Herbert Dennis Hunt, John Randall West, Marshall Ashby Gibbs, Bradley Michael Griglione, Gregory David Neil Hudson, Andrea Basilico, Arvid C. Johnson, Cheryl G. Bergeon, Craig Joseph Chapa, Alberto Agostinelli, Jay Alan Yusko, Trevor Mason
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Publication number: 20080288522Abstract: A method for reading the altered data field in accordance with the field alteration data is provided. The method may include altering a data field characteristic of a data field in a data table, saving the field alteration datum associated with the alteration in a data storage facility, submitting a query requiring the use of the data field in the dataset and reading the altered data field in accordance with the field alteration data. The alteration may generate a field alteration datum and a component of the query may consist of reading the field alteration data.Type: ApplicationFiled: January 31, 2008Publication date: November 20, 2008Inventors: Herbert Dennis Hunt, John Randall West, Marshall Ashby Gibbs, Bradley Michael Griglione, Gregory David Neil Hudson, Andrea Basilico, Arvid C. Johnson, Cheryl G. Bergeon, Craig Joseph Chapa, Alberto Agostinelli, Jay Alan Yusko, Trevor Mason, Ting Liu
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Publication number: 20080288209Abstract: In embodiments of the present invention improved capabilities are described for using an analytic platform to obtain a projection, where a user of an analytic platform may select at least one dimension on which the user wishes to make a projection from the data set. A core information matrix may be developed for data set, where the core information matrix may include regions representing the statistical characteristics of alternative projection techniques that may be applied to the data set, and may include statistical characteristics relating to projections using any selected dimensions. In addition, a user interface may be provided whereby a user may observe the regions of the core information matrix to facilitate selecting an appropriate projection technique.Type: ApplicationFiled: January 31, 2008Publication date: November 20, 2008Inventors: Herbert Dennis Hunt, John Randall West, Marshall Ashby Gibbs, Bradley Michael Griglione, Gregory David Neil Hudson, Andrea Basilico, Arvid C. Johnson, Cheryl G. Bergeon, Craig Joseph Chapa, Alberto Agostinelli, Jay Alan Yusko, Trevor Mason
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Publication number: 20080270363Abstract: Systems and methods are presented that may involve storing a core information matrix in a partition within a partitioned database, wherein the partition is associated with a data characteristic. It may also involve associating a master processing node with a plurality of slave nodes, wherein each of the plurality of slave nodes is associated with a partition of the partitioned database. It may also involve submitting a query to the master processing node, wherein the query relates to a projection. It may also involve assigning analytic processing to at least one of the plurality of slave nodes by the master processing node, wherein the assignment is based at least in part on the partition association. It may also involve processing the projection-related query by the assigned slave node, wherein the analysis produces a partial projection result at the assigned slave node.Type: ApplicationFiled: January 31, 2008Publication date: October 30, 2008Inventors: Herbert Dennis Hunt, John Randall West, Marshall Ashby Gibbs, Bradley Michael Griglione, Gregory David Neil Hudson, Andrea Basilico, Arvid Conrad Johnson, Cheryl G. Bergeon, Craig Joseph Chapa, Alberto Agostinelli, Jay Alan Yusko, Trevor Mason
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Publication number: 20080256028Abstract: 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.Type: ApplicationFiled: October 29, 2007Publication date: October 16, 2008Inventors: MICHAEL W. KRUGER, CHERYL G. BERGEON, ARVID C. JOHNSON
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Publication number: 20080256027Abstract: 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.Type: ApplicationFiled: October 29, 2007Publication date: October 16, 2008Inventors: MICHAEL W. KRUGER, CHERYL G. BERGEON, ARVID C. JOHNSON
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Publication number: 20080168028Abstract: 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.Type: ApplicationFiled: October 29, 2007Publication date: July 10, 2008Inventors: MICHAEL W. KRUGER, CHERYL G. BERGEON, ARVID C. JOHNSON
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Publication number: 20080168104Abstract: 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.Type: ApplicationFiled: October 29, 2007Publication date: July 10, 2008Inventors: MICHAEL W. KRUGER, CHERYL G. BERGEON, ARVID C. JOHNSON
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Publication number: 20080168027Abstract: 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.Type: ApplicationFiled: October 29, 2007Publication date: July 10, 2008Inventors: MICHAEL W. KRUGER, CHERYL G. BERGEON, ARVID C. JOHNSON
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Publication number: 20080162571Abstract: 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.Type: ApplicationFiled: October 29, 2007Publication date: July 3, 2008Inventors: MICHAEL W. KRUGER, CHERYL G. BERGEON, ARVID C. JOHNSON
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Publication number: 20080162464Abstract: 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.Type: ApplicationFiled: October 29, 2007Publication date: July 3, 2008Inventors: Michael W. Kruger, Cheryl G. Bergeon, Arvid C. Johnson
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Publication number: 20080162460Abstract: 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.Type: ApplicationFiled: October 29, 2007Publication date: July 3, 2008Inventors: MICHAEL W. KRUGER, CHERYL G. BERGEON, ARVID C. JOHNSON
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Publication number: 20080162223Abstract: 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.Type: ApplicationFiled: October 29, 2007Publication date: July 3, 2008Inventors: MICHAEL W. KRUGER, CHERYL G. BERGEON, ARVID C. JOHNSON
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Publication number: 20080162461Abstract: 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.Type: ApplicationFiled: October 29, 2007Publication date: July 3, 2008Inventors: Michael W. Kruger, Cheryl G. Bergeon, Arvid C. Johnson
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Publication number: 20080162463Abstract: 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.Type: ApplicationFiled: October 29, 2007Publication date: July 3, 2008Inventors: MICHAEL W. KRUGER, CHERYL G. BERGEON, ARVID C. JOHNSON
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Publication number: 20080162404Abstract: 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.Type: ApplicationFiled: October 29, 2007Publication date: July 3, 2008Inventors: MICHAEL W. KRUGER, CHERYL G. BERGEON, ARVID C. JOHNSON
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Publication number: 20080162465Abstract: 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.Type: ApplicationFiled: October 29, 2007Publication date: July 3, 2008Inventors: MICHAEL W. KRUGER, CHERYL G. BERGEON, ARVID C. JOHNSON