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For the Inventor, By the Inventor

Escondido, CA, United States of America

Brian Don Tate

USPTO Granted Patents = 9

Average Co-Inventor Count = 1.9

ph-index = 9

Forward Citations = 297(Granted Patents)


Company Filing History:

goldMedal9 out of 4,491 
 
Ncr Corporation
 patents

Years Active: 2002-2007

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9 patents (USPTO):Explore Patents
1. 7162464 - Data mining assists in a relational database management system (2007-01-09),
2. 6704717 - Analytic algorithm for enhanced back-propagation neural network processing (2004-03-09),
3. 6687695 - SQL-based analytic algorithms (2004-02-03),
4. 6631361 - Method and apparatus for providing explanations of automated decisions applied to user data (2003-10-07),
5. 6611829 - SQL-based analytic algorithm for association (2003-08-26),
6. 6553366 - Analytic logical data model (2003-04-22),
7. 6549910 - SQI-based automated, adaptive, histogram bin data description assist (2003-04-15),
8. 6438552 - SQL-Based automated histogram bin data derivation assist (2002-08-20),
9. 6421665 - SQL-based data reduction techniques for delivering data to analytic tools (2002-07-16),

Title: Brian Don Tate: Innovator in Data Mining Technologies

Introduction

Brian Don Tate is a prominent inventor based in Escondido, CA (US). He has made significant contributions to the field of data mining, holding a total of 9 patents. His work focuses on enhancing relational database management systems through innovative methods and algorithms.

Latest Patents

Among his latest patents is a method, apparatus, and article of manufacture for performing data mining applications in a relational database management system. This patent outlines how scalable data mining functions are executed directly against a relational database by utilizing dynamically generated queries through an application programming interface based on requested parameters. Another notable patent involves an analytic algorithm for enhanced back-propagation neural network processing. This invention describes a method where at least one analytic algorithm is performed by a computer, utilizing SQL statements executed directly against the relational database. The algorithm processes data partitioned into training, testing, and validation data sets, mapping the training data to nodes in the neural network. It also determines error differences between the output node's value and a target value, adjusting weight values to ensure the neural network converges on a solution while preventing overfitting.

Career Highlights

Brian Don Tate is currently employed at NCR Corporation, where he continues to develop innovative solutions in data mining and database management. His expertise in these areas has positioned him as a key player in advancing technology within his field.

Collaborations

Throughout his career, Brian has collaborated with notable colleagues, including Anthony Lowell Rollins and Timothy Edward Miller. These partnerships have contributed to the development of cutting-edge technologies and methodologies in data mining.

Conclusion

Brian Don Tate's contributions to data mining and relational database management systems highlight his innovative spirit and technical expertise. His patents and ongoing work at NCR Corporation continue to influence the landscape of data technology.

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