David Rawlins Duling

Title: David Rawlins Duling: Innovator in Time Series Data Clustering

Introduction

David Rawlins Duling is an accomplished inventor based in Durham, NC (US). He has made significant contributions to the field of data analysis, particularly in the area of time series data clustering. With a total of 3 patents to his name, Duling continues to push the boundaries of innovation.

Latest Patents

Duling's latest patents include "Systems and methods for clustering time series data based on forecast distributions." This patent describes a method for clustering time series data by applying a forecasting model to generate forecasted values and confidence intervals. The process involves creating a distance matrix to identify divergences in the forecasted values, which is generated using a symmetric Kullback-Leibler divergence algorithm. Another notable patent is "Constrained optimized binning for scorecards," which outlines computer-implemented systems for generating bins for scorecards through an optimization model.

Career Highlights

David Rawlins Duling is currently employed at SAS Institute Inc., a leading analytics software company. His work focuses on developing innovative solutions that enhance data analysis and forecasting capabilities. Duling's expertise in clustering and optimization has positioned him as a valuable asset in the field of data science.

Collaborations

Duling collaborates with talented individuals such as Taiyeong Lee and Dominique Joseph Latour. Their combined efforts contribute to the advancement of innovative methodologies in data analysis.

Conclusion

David Rawlins Duling is a prominent inventor whose work in time series data clustering and optimization continues to influence the field of data science. His contributions through patents and collaborations highlight his commitment to innovation and excellence.