This inventor holds 1 USPTO granted patent. Top assignee: Kent Ridge Digital Labs. Active years: 2003.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2003
Title: The Innovative Mind of Xiuzhen Zhang
Introduction
Xiuzhen Zhang is a prominent inventor based in Victoria, Australia. He has made significant contributions to the field of data classification through his innovative patent. His work focuses on the aggregation of emerging patterns to enhance the accuracy of data classification.
Latest Patents
Xiuzhen Zhang holds a patent titled "Method and apparatus for classification of data by aggregating emerging patterns." This patent introduces a classifier known as CAEP, which utilizes emerging patterns (EPs) to differentiate class memberships effectively. The classifier operates on the principle that each EP can significantly distinguish between classes based on the supports of the EPs in opposing classes. The method aggregates the differentiating power of a selected set of EPs to obtain scores for each class, ultimately determining the class of an instance based on the highest score. This approach is particularly beneficial for applications dealing with large volumes of high-dimensional data.
Career Highlights
Xiuzhen Zhang is associated with Kent Ridge Digital Labs, where he continues to push the boundaries of data classification technologies. His work has garnered attention for its applicability across various domains, especially in scenarios with unbalanced class populations.
Collaborations
Xiuzhen Zhang has collaborated with notable colleagues, including Limsoon Wong and Guozhu Dong. Their combined expertise has contributed to advancements in the field of data science and classification methodologies.
Conclusion
Xiuzhen Zhang's innovative contributions to data classification through his patent demonstrate his commitment to advancing technology in this area. His work continues to influence the way data is analyzed and classified, showcasing the importance of emerging patterns in modern applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile