Colbert, WA, United States of America

Molly Q Brown

USPTO Granted Patents = 4 

Average Co-Inventor Count = 4.7

ph-index = 2

Forward Citations = 24(Granted Patents)


Company Filing History:


Years Active: 2015-2022

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4 patents (USPTO):Explore Patents

Title: Inventor Spotlight: Molly Q Brown

Introduction

Molly Q Brown, an innovative inventor based in Colbert, WA, has made significant contributions in the field of data classification and clustering. With a total of four patents to her name, her work highlights the potential of using advanced algorithms to organize and interpret complex data sets.

Latest Patents

Molly Q Brown's latest patents focus on methods and systems for generating and correcting classification models. Her approach allows data with various similarities and dissimilarities to be clustered effectively. By employing agglomerative clustering techniques, the system can provide suggestions for grouping data based on user-defined criteria. Furthermore, the system possesses the ability to learn from these criteria, enhancing its capability to sort data into appropriate groups efficiently. As users become more familiar with their data, the system can be easily refined to better meet their needs.

Career Highlights

Throughout her career, Molly has worked with prominent companies such as Verint Americas Inc. and Next It Corporation. These positions have allowed her to hone her skills in data analysis and classification, leading to her innovative patent developments.

Collaborations

Molly Q Brown has collaborated with notable colleagues, including Fred A Brown and Tanya M Miller. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge solutions in technology.

Conclusion

In summary, Molly Q Brown stands out as an accomplished inventor whose work in data classification and clustering reflects the ongoing advancements in technology. Her patents not only contribute to her field but also serve as a valuable resource for companies seeking to leverage data more effectively. As she continues to innovate, her future contributions will surely be anticipated by peers and industry experts alike.

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