Granite Bay, CA, United States of America

Lin A Nease

USPTO Granted Patents = 10 

Average Co-Inventor Count = 2.7

ph-index = 2

Forward Citations = 18(Granted Patents)


Location History:

  • Granite Bay, CA (US) (2012 - 2022)
  • San Jose, CA (US) (2024)

Company Filing History:


Years Active: 2012-2025

where 'Filed Patents' based on already Granted Patents

10 patents (USPTO):

Title: Lin A Nease: Innovator in Data Analytics

Introduction

Lin A Nease is a prominent inventor based in Granite Bay, California. He has made significant contributions to the field of data analytics, holding a total of 10 patents. His work focuses on enhancing data processing pipelines and improving the efficiency of data analysis projects.

Latest Patents

One of Lin A Nease's latest patents is titled "Data recommender using lineage to propagate value indicators." This innovative system gathers information about data as it progresses through data processing pipelines. The data analytics system derives value indicators and implicit metadata from various sources, including the data-related products themselves and the semantic analysis of the code used in processing. By referencing these indicators and metadata, the system can recommend useful processing steps, datasets, and other data-related products for new data analysis projects.

Career Highlights

Throughout his career, Lin A Nease has worked with notable companies, including Hewlett-Packard Development Company, L.P. and Hewlett Packard Enterprise Development LP. His experience in these organizations has contributed to his expertise in data analytics and innovation.

Collaborations

Lin has collaborated with several professionals in his field, including Chuck A Black and Suparna Bhattacharya. These collaborations have further enriched his work and contributed to the development of his patents.

Conclusion

Lin A Nease is a distinguished inventor whose work in data analytics has led to significant advancements in the field. His innovative patents and collaborations reflect his commitment to improving data processing and analysis.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…