Austin, TX, United States of America

Benjamin R Chu

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2011.


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2011

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Benjamin R. Chu

Introduction

Benjamin R. Chu is a notable inventor based in Austin, TX. He has made significant contributions to the field of data mining, particularly through his innovative patent. His work focuses on enhancing visualization methods and variable rankings, which are crucial for effective data analysis.

Latest Patents

Benjamin R. Chu holds a patent titled "Data mining using variable rankings and enhanced visualization methods." This patent involves a method where dimensional data with attributed categorical variables is mined against a continuous target using various data mining techniques. The process includes ranking variables to generate a tree structure. A population and target value are stored from the top node of the tree, which is then removed to create a new tree with the next top node. This iterative process continues, allowing for the identification of fields that significantly affect the number of records based on their deviation from a norm.

Career Highlights

Benjamin R. Chu is associated with International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore and develop advanced data mining techniques that have practical applications in various industries. His innovative approach has positioned him as a valuable asset in the field of data analysis.

Collaborations

Some of his notable coworkers include Steven G. Barbee and John W. Hopkins. Their collaboration has likely contributed to the advancement of projects within IBM, enhancing the overall impact of their work in data mining and visualization.

Conclusion

Benjamin R. Chu's contributions to data mining through his innovative patent demonstrate his expertise and commitment to advancing technology. His work continues to influence the field, making significant strides in how data is analyzed and visualized.

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