This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Motorola Solutions, Inc.. Active years: 2011.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2011
Title: Kaidi Zhao: Innovator in Interactive Data Mining Systems
Introduction
Kaidi Zhao is a prominent inventor based in Hoffman Estates, IL (US). She has made significant contributions to the field of data mining, particularly through her innovative patent that enhances the understanding of complex data sets.
Latest Patents
Kaidi Zhao holds a patent for an "Interactive Data Mining System." This system is designed to facilitate the mining of large, high-dimensional data sets, such as those with 200 dimensions. It graphically presents rules in a context that allows users to intuitively appreciate the significance of important attributes within the data. The system employs metrics to quantify the importance of various data attributes and values, ranking them accordingly. This enables users to quickly identify the most interesting aspects of the data. Additionally, the system explores the impact of user-defined constraints and presents histograms and rule cubes, including superposed and interleaved rule cubes, to illustrate the effects of these constraints.
Career Highlights
Kaidi Zhao is currently employed at Motorola Solutions, Inc., where she continues to develop innovative solutions in data mining. Her work has positioned her as a key figure in her field, contributing to advancements that benefit various industries.
Collaborations
Throughout her career, Kaidi has collaborated with notable colleagues, including Jeffrey G Benkler and Weimin Xiao. These partnerships have further enriched her work and expanded the impact of her inventions.
Conclusion
Kaidi Zhao's contributions to interactive data mining systems exemplify her innovative spirit and dedication to advancing technology. Her patent reflects a significant step forward in making complex data more accessible and understandable.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
