Ya-Ling Chen

Title: The Innovations of Ya-Ling Chen

Introduction

Ya-Ling Chen is a prominent inventor based in Hsinchu, Taiwan. She has made significant contributions to the field of risk evaluation and data anonymization. With a total of 3 patents to her name, her work focuses on enhancing the efficiency and effectiveness of data handling in various applications.

Latest Patents

Ya-Ling Chen's latest patents include a method and device for risk evaluation. This innovative approach evaluates an anonymous dataset generated from an original dataset. The method involves acquiring a plurality of appearing times corresponding to original values, generating a partition set and a weight table, and dividing the original dataset into data partitions. The process culminates in comparing sample data with anonymous data to produce a risk evaluation result. Another notable patent is the method for generating an anonymous dataset, which includes acquiring critical attributes and quasi-identifiers, generating a data cluster, and outputting an anonymous dataset that enhances risk evaluation efficiency.

Career Highlights

Throughout her career, Ya-Ling Chen has worked with esteemed organizations such as the Industrial Technology Research Institute and IBM. Her experience in these institutions has allowed her to develop and refine her innovative ideas, contributing to advancements in technology and data security.

Collaborations

Ya-Ling Chen has collaborated with notable colleagues, including Ding-Jun Yin and Kuo-Yang Hung. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and expertise.

Conclusion

Ya-Ling Chen's contributions to the field of risk evaluation and data anonymization highlight her innovative spirit and dedication to advancing technology. Her patents reflect her commitment to improving data handling processes, making her a significant figure in her field.