Brian S Tate

US Patent:

6438552, Aug 20, 2002

Filed:

Oct 1, 1999

Appl. No.:

09/411818

Inventors:

Brian Don Tate - Escondido CA

Assignee:

NCR Corporation - Dayton OH

International Classification:

G06F 1730

US Classification:

707 10, 707 2, 707 3, 707101, 707102, 707104

Abstract:

A method, apparatus, and article of manufacture for performing data mining applications in a massively parallel relational database management system. A scalable data mining function comprising an automated histogram bin data derivation assist function is instantiated and parameterized via an analytic application programming interface (API). The automated histogram bin data derivation assist function comprises a query that is performed directly within the relational database management system, wherein the automated histogram bin data derivation assist function derives a new data element in the relational database based on a relation of a particular value of another data element to that elements overall distribution in the relational database.

US Patent:

6549910, Apr 15, 2003

Filed:

Oct 1, 1999

Appl. No.:

09/410534

Inventors:

Brian Don Tate - Escondido CA

Assignee:

NCR Corporation - Dayton OH

International Classification:

G06F 1730

US Classification:

707102

Abstract:

A method, apparatus, and article of manufacture for performing data mining applications in a massively parallel relational database management system. A scalable data mining function comprising an automated, adaptive, histogram bin data description assist function is instantiated and parameterized via an analytic application programming interface (API). The automated, adaptive, histogram bin data description assist function comprises a query that is performed directly within the relational database management system, wherein the automated, adaptive, histogram bin data description assist function counts a number of occurrences of values in value ranges for a numeric data element in a column of a table stored in the relational database.

US Patent:

6611829, Aug 26, 2003

Filed:

Oct 1, 1999

Appl. No.:

09/410528

Inventors:

Brian Don Tate - Escondido CA
James Edward Pricer - Chapel Hill NC
Tej Anand - Chappaqua NY
Randy Gerard Kerber - San Jose CA

Assignee:

NCR Corporation - Dayton OH

International Classification:

G06F 700

US Classification:

707 2, 707 3, 707 6, 707 10, 715509

Abstract:

A method, apparatus, and article of manufacture for performing data mining applications in a relational database management system. An analytic algorithm for association is performed by the relational database management system to measure one or more associations between a plurality of items in a stream of transaction data stored in the relational database, wherein the analytic algorithm for association creates at least one analytic model within an analytic logical data model from data residing in the relational database.

US Patent:

6631361, Oct 7, 2003

Filed:

Oct 1, 1999

Appl. No.:

09/410532

Inventors:

Kenneth W. OFlaherty - La Jolla CA
Brian Don Tate - Escondido CA

Assignee:

NCR Corporation - Dayton OH

International Classification:

G06F 1700

US Classification:

706 47, 707100

Abstract:

A method, apparatus, and article of manufacture for providing a description of logic used in determining an outcome based on automatic processing of data is disclosed. The method comprises the steps of hierarchically applying a series of decision criteria to the data to arrive at the outcome, while recording a rule determined from application of each decision criteria to the data, and retrieving the recorded rules. The article of manufacture comprises a data storage device tangibly embodying instructions to perform the method steps outlined above, and the apparatus for performing the method steps.

US Patent:

6704717, Mar 9, 2004

Filed:

Aug 18, 2000

Appl. No.:

09/642981

Inventors:

Brian Don Tate - Escondido CA

Assignee:

NCR Corporation - Dayton OH

International Classification:

G06F 1516

US Classification:

706 15, 706 16, 706 50, 706 25

Abstract:

A method, apparatus, and article of manufacture for performing data mining applications in a relational database management system. At least one analytic algorithm for enhanced back-propagation neural network processing is performed by a computer, wherein the analytic algorithm for enhanced back-propagation neural network processing includes SQL statements performed by the relational database management system directly against the relational database and programmatic iteration. The analytic algorithm for enhanced back-propagation neural network processing operates on data in the relational database that has been partitioned into training, testing and validation data sets. The analytic algorithm for enhanced back-propagation neural network processing maps the data in the training data sets to nodes in the neural network wherein the data is processed as it moves from an input node of the neural network through a hidden node of the neural network to an output node of the neural network. In addition, the analytic algorithm for enhanced back-propagation neural network processing determines an error difference between the output nodes value and a target value as the data is mapped to the output node in the neural network, and changes a weight value for one or more of the nodes based on an accumulation of the error difference for the node, in order to get the neural network to converge on a solution. Finally, the analytic algorithm for enhanced back-propagation neural network processing cross-validates the changed weight value to prevent overfitting the node.

US Patent:

6421665, Jul 16, 2002

Filed:

Oct 1, 1999

Appl. No.:

09/411809

Inventors:

Todd Michael Brye - San Diego CA
Brian Don Tate - Escondido CA
Anthony Lowell Rollins - San Diego CA

Assignee:

NCR Corporation - Dayton OH

International Classification:

G06F 1730

US Classification:

707 3, 707 2, 707102, 707 4, 707100

Abstract:

A method, apparatus, and article of manufacture for performing data mining applications in a relational database management system executed by a massively parallel processing (MPP) computer system. An analytic application programming interface (API), executed by the computer, generates a data reduction function performed directly within the relational database management system. The data reduction function builds at least one matrix within the relational database management system from data stored in the relational database.