Stanford, CA, United States of America

Andrew Conway

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Agilent Technologies, Inc.. Active years: 2005.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2005

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Andrew Conway

Introduction

Andrew Conway is an accomplished inventor based in Stanford, CA. He is known for his groundbreaking work in the field of autonomous data mining. With a focus on creating systems that can operate independently, Conway has made significant contributions to the technology landscape.

Latest Patents

Conway holds a patent for an invention titled "Autonomous Data Mining." This invention provides a method and system for performing data mining autonomously with regard to a set of data, and formulating hypotheses in response thereto. The autonomous software element collects sets of data, along with collateral data, into a unified extensible database. It formulates possibly interesting hypotheses regarding those data, evaluates them by relating each hypothesis against a probability it could have occurred by chance, rates each hypothesis in response to multiple factors, and reports those hypotheses to users who are most likely to be interested.

Career Highlights

Andrew Conway is currently employed at Agilent Technologies, Inc., where he continues to innovate and develop new technologies. His work has positioned him as a key player in the field of data mining and analysis.

Collaborations

Conway has collaborated with notable colleagues such as Peter Eastman and Howard Snortland. These partnerships have further enhanced his research and development efforts.

Conclusion

Andrew Conway's contributions to autonomous data mining exemplify the spirit of innovation. His work not only advances technology but also opens new avenues for research and application in data analysis.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to [email protected]
Loading…