Company Filing History:
Years Active: 2011-2013
Title: Innovations of Jian L Zhen
Introduction
Jian L Zhen is a notable inventor based in Fremont, California. He has made significant contributions to the field of event data management, holding two patents that showcase his innovative approach to data reporting and mining. His work is particularly relevant in today's data-driven world, where efficient data handling is crucial for businesses.
Latest Patents
Jian L Zhen's latest patents focus on customized reporting and mining of event data. In his inventions, event data, such as log messages, are represented as sets of attribute/value pairs. An index is created to map each attribute/value pair or attribute/value tuple to a pointer that directs to the event data containing that specific pair or tuple. Additionally, an attribute co-occurrence map or matrix can be generated, which includes attribute names that frequently co-occur together. This innovative approach allows for the generation of queries and custom reports by projecting event data into one or more attributes or attribute/value pairs. Statistics on other attributes can then be determined using a combination of the inverted index, the attribute co-occurrence map or matrix, and various mathematical and statistical functions.
Career Highlights
Jian L Zhen is currently employed at Loglogic, Inc., where he continues to develop and refine his innovative ideas. His work at the company has positioned him as a key player in the field of event data management. His contributions have not only advanced the technology but have also provided valuable tools for businesses to analyze and interpret their data more effectively.
Collaborations
Some of Jian L Zhen's notable coworkers include Sherif Botros and Minjun Liu. Their collaborative efforts contribute to the innovative environment at Loglogic, Inc., fostering advancements in data management technologies.
Conclusion
Jian L Zhen's work exemplifies the importance of innovation in the realm of data management. His patents reflect a deep understanding of event data and its applications, making significant strides in how businesses can leverage data for better decision-making. His contributions continue to influence the industry positively.