Gary L Drescher

Title: Gary L. Drescher: Innovator in Data Mining Technologies

Introduction

Gary L. Drescher is a prominent inventor based in Cambridge, MA (US). He has made significant contributions to the field of data mining, holding a total of 6 patents. His work focuses on enhancing the accuracy and efficiency of predictive models, particularly through the use of Naïve Bayes techniques.

Latest Patents

One of his latest patents is titled "Cross-validation for naive bayes data mining model." This invention provides a system, method, and computer program product that measures the accuracy of a Naïve Bayes predictive model while reducing computational expenses compared to conventional techniques. The method involves receiving a training dataset, building a predictive model, and incrementally untraining the model to determine its accuracy.

Another notable patent is "Data mining model building using attribute importance." This invention utilizes attribute importance to streamline the process of building data mining models, thereby reducing time and computational resources. The method includes selecting a subset of predictive attributes by eliminating redundant or irrelevant ones, which enhances the model's predictive quality.

Career Highlights

Gary L. Drescher is currently employed at Oracle International Corporation, where he continues to innovate in the field of data mining. His work has had a substantial impact on the efficiency of data analysis and predictive modeling.

Collaborations

Throughout his career, Gary has collaborated with notable colleagues, including Pavani Kuntala and Mark F. Hornick. These collaborations have contributed to the advancement of data mining technologies and methodologies.

Conclusion

Gary L. Drescher's contributions to data mining and predictive modeling exemplify the importance of innovation in technology. His patents reflect a commitment to improving accuracy and efficiency in data analysis, making a lasting impact in the field.