Carlos M Ordonez

Address:

615 Mt Vernon Hwy, Atlanta, GA 30327

VIN:

2FMDK3KC6ABB25567

Make:

FORD

Model:

EDGE

Year:

2010

Address:

8614 Greiner Dr, Houston, TX 77080

VIN:

WAUAF78E47A072056

Make:

AUDI

Model:

A4

Year:

2007

US Patent:

6496834, Dec 17, 2002

Filed:

Dec 22, 2000

Appl. No.:

09/747856

Inventors:

Paul M. Cereghini - Escondido CA
Carlos Ordonez - Escondido CA

Assignee:

NCR Corporation - Dayton OH

International Classification:

G06F 1730

US Classification:

707102

Abstract:

A method for performing cluster analysis inside a relational database management system. The method defines a plurality of tables for the storage of data points and Gaussian mixture parameters and executes a series of SQL statements implementing an Expectation-Maximization clustering algorithm to iteratively update the Gaussian mixture parameters stored within the tables.

US Patent:

6519591, Feb 11, 2003

Filed:

Dec 22, 2000

Appl. No.:

09/747857

Inventors:

Paul M. Cereghini - Escondido CA
Carlos Ordonez - Escondido CA

Assignee:

NCR Corporation - Dayton OH

International Classification:

G06F 1730

US Classification:

707 6, 707 3

Abstract:

A method for performing cluster analysis inside a relational database management system. The method defines a plurality of tables for the storage of data points and Gaussian mixture parameters and executes a series of SQL statements implementing an Expectation-Maximization clustering algorithm to iteratively update the Gaussian mixture parameters stored within the tables.

US Patent:

6615205, Sep 2, 2003

Filed:

Dec 22, 2000

Appl. No.:

09/747858

Inventors:

Paul M. Cereghini - Escondido CA 92027
Carlos Ordonez - Escondido CA 92026

International Classification:

G06F 1730

US Classification:

707 3

Abstract:

A method for performing cluster analysis inside a relational database management system. The method defines a plurality of tables for the storage of data points and Gaussian mixture parameters and executes a series of SQL statements implementing an Expectation-Maximization clustering algorithm to iteratively update the Gaussian mixture parameters stored within the tables.

US Patent:

7349914, Mar 25, 2008

Filed:

May 4, 2004

Appl. No.:

10/838475

Inventors:

Carlos Ordonez - San Diego CA, US

Assignee:

NCR Corp. - Dayton OH

International Classification:

G06F 17/00

US Classification:

707101, 707102, 707103 R, 7071041

Abstract:

A database system is capable of clustering data in received transactions. Clustering is based on sparse distance computations and/or simplified sufficient statistics. Each of the received transactions contain attributes or dimensions that are binary data. In some implementations, a summary table is also output to enable convenient viewing of the results of clustering.

US Patent:

7359913, Apr 15, 2008

Filed:

May 13, 2005

Appl. No.:

11/129732

Inventors:

Carlos Ordonez - San Diego CA, US

Assignee:

NCR Corp. - Dayton OH

International Classification:

G06F 17/30
G06F 17/00

US Classification:

707102, 707 4

Abstract:

A database includes a storage to store a data set and a controller to use one or more SQL (Structured Query Language) statements to perform computations associated with a clustering algorithm e. g. , a K-means clustering algorithm).

US Patent:

7761450, Jul 20, 2010

Filed:

Dec 24, 2003

Appl. No.:

10/746172

Inventors:

Carlos Ordonez - San Diego CA, US

Assignee:

Teradata US, Inc. - Miamisburg OH

International Classification:

G06F 17/30

US Classification:

707736

Abstract:

A database system includes a storage to store a table, and a controller to receive a query containing an aggregate function to calculate a percentage. In response to the aggregate function, the percentage is calculated. In one implementation, the controller calculates plural percentage values based on plural groups specified by a group-by clause of the query.

US Patent:

7908159, Mar 15, 2011

Filed:

Feb 12, 2003

Appl. No.:

10/365038

Inventors:

Carlos Ordonez - San Diego CA, US
Mike Chiufang Hsiao - San Diego CA, US

Assignee:

Teradata US, Inc. - Dayton OH

International Classification:

G06F 9/44

US Classification:

705 7

Abstract:

Methods, data structures, and systems for generating customer segmentation models are provided. Basket transactions are analyzed and classified into a first segment type, a second segment type, a third segment type, or a fourth segment type. A number of the basket transaction within a number of the segment types are separately analyzed to determine sub classifications or sub segments within a particular segment type. Each basket transaction is augmented with a segment type that identifies the segment type classification, and a number of the basket transactions include a segment identifier that identifies the sub segment within a segment type that a basket transaction is associated with. The augmented basket transactions represent a customer segmentation model. In one embodiment, daily transactions are monitored by a script and used to dynamically adjust the customer segmentation model.

US Patent:

8185547, May 22, 2012

Filed:

Jul 29, 2005

Appl. No.:

11/193679

Inventors:

Carlos Ordonez - San Diego CA, US

Assignee:

Teradata US, Inc. - Dayton OH

International Classification:

G06F 7/00
G06F 17/30
G06F 13/14

US Classification:

707781, 707705

Abstract:

Matrices involved in a data analysis are stored in predetermined blocks, where blocks for a first matrix contain respective rows of the first matrix, and blocks for a second matrix contain respective columns of the second matrix. Results for the data analysis are computed using the blocks of the first and second matrices.