Mark Whiting

Title: Innovations of Mark Whiting

Introduction

Mark Whiting is an accomplished inventor based in Pittsburgh, PA. He has made significant contributions to the field of data processing, particularly in the context of machine learning. His innovative approach has led to the development of a unique patent that enhances the efficiency of data classification systems.

Latest Patents

Mark Whiting holds a patent for a system titled "Searching of data structures in pre-processing data for a machine learning classifier." This data processing system is designed to pre-process data for a machine learning classifier. It includes an input port that receives one or more data items, an extraction engine that extracts a plurality of data signatures and structured data, and a logical rule set generation engine. This engine generates a data structure, selects a particular data signature, identifies instances of that signature, segments the data structure around those instances, and generates a logical ruleset. A classification engine then executes classifiers against the logical ruleset to classify the received data items.

Career Highlights

Mark Whiting is affiliated with Carnegie Mellon University, where he contributes to research and development in data processing and machine learning. His work is recognized for its innovative approach to enhancing data classification systems, making significant strides in the field.

Collaborations

Some of Mark's notable coworkers include Jonathan Cagan and Phil LeDuc, who collaborate with him on various projects related to data processing and machine learning.

Conclusion

Mark Whiting's contributions to the field of data processing and machine learning exemplify the impact of innovative thinking in technology. His patent reflects a significant advancement in the efficiency of data classification systems, showcasing his expertise and dedication to the field.