Cetin Savkli

Title: Cetin Savkli: Innovator in High Dimensional Data Analysis

Introduction

Cetin Savkli is a notable inventor based in Annapolis, MD (US), recognized for his contributions to the field of data analysis and classification. With a total of three patents to his name, Savkli has made significant strides in developing methods and apparatuses that enhance the understanding of high dimensional data sets.

Latest Patents

Savkli's latest patents include a "Method and apparatus for analysis and classification of high dimensional data sets." This innovative method involves constructing a mutual information graph for categorical data, determining a clique tree that correlates attributes with mutual dependence, and assessing the normality rating of entities based on this analysis. Another significant patent is the "Method and apparatus for clustering, analysis and classification of high dimensional data sets." This apparatus is designed to initialize a mixture model with clusters of categorical data, iteratively update cluster assignments, evaluate cluster quality, and determine an optimal mixture model based on pruned clusters.

Career Highlights

Cetin Savkli is affiliated with The Johns Hopkins University, where he applies his expertise in data analysis. His work has been instrumental in advancing methodologies that facilitate better data interpretation and classification.

Collaborations

Savkli collaborates with esteemed colleagues, including Jeffrey S. Lin and Philip B. Graff, contributing to a dynamic research environment that fosters innovation and discovery.

Conclusion

Cetin Savkli's work in high dimensional data analysis exemplifies the impact of innovative thinking in technology and research. His patents reflect a commitment to enhancing data classification methods, making significant contributions to the field.