This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2002.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2002
Title: The Innovative Contributions of Andrew Martin Lawrence
Introduction
Andrew Martin Lawrence is a notable inventor based in Tempe, AZ (US). He has made significant contributions to the field of data mining, particularly through his innovative patent. His work focuses on enhancing the efficiency of large-scale relational databases, which is crucial in today's data-driven world.
Latest Patents
Andrew holds a patent for a "Technique for data mining of large scale relational databases using SQL." This technique describes a method for enhanced data mining by creating user-defined functions (UDF) that are distributed by a managing node to each node of the database. Upon issuing a specified SQL command, the UDF is executed by each node relative to the data it controls. The targeted tuples in the data are scored based on criteria contained in the UDF, allowing for more effective decision-making, such as determining customer inclusion in advertising campaigns.
Career Highlights
Andrew is currently employed at International Business Machines Corporation (IBM), where he continues to develop innovative solutions in data management and analysis. His work at IBM has allowed him to leverage cutting-edge technology to improve data mining techniques.
Collaborations
Andrew has collaborated with notable coworkers, including Mark Steven Ramsey and Vincent Philip Thomas. These partnerships have contributed to the advancement of their collective work in the field of data mining and database management.
Conclusion
Andrew Martin Lawrence's contributions to data mining through his innovative patent demonstrate his expertise and commitment to advancing technology. His work at IBM and collaborations with other professionals highlight the importance of teamwork in driving innovation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
