Philadelphia, PA, United States of America

Lyle H Ungar

This inventor holds 12 USPTO granted patents and 4 published patent applications. Top assignees: Pinpoint, Incorporated, Fred Herz Patents, LLC, Massachusetts Institute of Technology. Active years: 1994-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lyle H Ungar. Retrieved from https://idiyas.com/inventor/lyle-h-ungar

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 12 

% Patents Active = 75.0

Average Co-Inventor Count = 4.2

ph-index = 11

Forward Citations = 6,867(Granted Patents)


Location History:

  • Philadephia, PA (US) (2000)
  • Philadelphia, PA (US) (1994 - 2012)

Company Filing History:


Years Active: 1994-2025

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12 patents (USPTO):Explore Patents

Title: Lyle H Ungar: Innovator in Decision Trees and Stock Market Prediction

Introduction

Lyle H Ungar is a prominent inventor based in Philadelphia, PA (US). He holds a total of 12 patents that showcase his innovative contributions to technology and data analysis. His work primarily focuses on systems for generating decision trees and utilizing natural language processing for stock market predictions.

Latest Patents

Among his latest patents is a system and method for generating improved decision trees. This invention involves creating a decision tree with multiple nodes arranged hierarchically. The process includes receiving training data, instance weightings, and valid domains for each attribute. The system associates binary predictions with each node, optimizing for the least amount of error. If a node has child nodes, the process is repeated for those nodes, ultimately leading to a terminal node associated with an outcome classifier.

Another significant patent involves stock market prediction using natural language processing (NLP). This method extracts information from online news feeds to predict changes in stock prices or volatilities. By recognizing company names and filling templates based on parsed information, the system can develop profitable trading strategies. The approach leverages statistical correlations between patterns in text and stock price movements, making it applicable to various financial documents and media.

Career Highlights

Lyle H Ungar has worked with notable companies, including Pinpoint Incorporated. His innovative work has significantly impacted the fields of data analysis and financial forecasting. His patents reflect a deep understanding of both technology and market dynamics.

Collaborations

Lyle has collaborated with esteemed colleagues such as Frederick S Herz and Jian Zhang. Their combined expertise has contributed to the advancement of their respective fields.

Conclusion

Lyle H Ungar's contributions to decision tree generation and stock market prediction highlight his role as a leading inventor in technology. His innovative patents continue to influence the way data is analyzed and utilized in financial markets.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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