Phillip Shi-lung Yu

Title: The Innovative Mind of Phillip Shi-lung Yu

Introduction

Phillip Shi-lung Yu is a notable inventor based in Chappaqua, NY (US). He has made significant contributions to the field of technology, particularly in the area of causality rule mining. His innovative approach has led to the development of a unique patent that addresses complex problems in event databases.

Latest Patents

Phillip Yu holds a patent titled "Method for mining causality rules with applications to electronic." This patent focuses on mining causality rules in an event database. The method involves iteratively generating candidate rules and counting their occurrences within the event database. Newly identified causality rules are utilized to create the next set of candidate rules for evaluation. This process enhances the size of the set of consequential events triggered by triggering events and/or the number of triggering events. The preferred embodiment employs an iterative approach to derive causality rules based on the sizes of consequential and triggering sets. Additionally, the detection of causality rule occurrences in an event sequence is treated as a sub-sequence matching problem, utilizing a novel hierarchical matching method to improve efficiency.

Career Highlights

Phillip Yu is associated with International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore and develop innovative solutions in the realm of technology and data analysis. His contributions have been instrumental in advancing the understanding of causality in event databases.

Collaborations

Phillip has collaborated with esteemed colleagues such as Bob Chao-Chu Liang and Ming-Syan Chen. These collaborations have fostered a productive environment for innovation and have led to significant advancements in their respective fields.

Conclusion

Phillip Shi-lung Yu is a distinguished inventor whose work in causality rule mining has made a lasting impact on technology. His innovative methods and collaborations continue to inspire advancements in data analysis and event processing.